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Dear All, RE: MOBILE DATA COLLECTION USING KOBOTOOLBOX. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using KoBoToolbox to be held in Nairobi, Kenya from 9th to 13th Dec,2019 Event Information Course Name: Mobile Data Collection Using KoBoToolbox Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 9th to 13th Dec,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: [url]Register here[/url] Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: TECHNOLOGY FOR MONITORING AND EVALUATION Tech For Development -T4D would like to invite you to a high impact Training Course in Technology For Monitoring and Evaluation to be held in Nairobi, Kenya from 11th to 15th Nov, 2019 Event Information Course Name: Technology For Monitoring and Evaluation. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 15th Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration:Register here Course Description How do you use technology to get insight from information? Whether you work for a small nonprofit, large government agency, or private sector firm, the demand to capture and visualize quantifiable results has never been greater. A number of Information Communication Technologies (ICTs) have been developed to address these needs such as social media analytics tools, mapping and data visualization software, mobile data collection systems and more. Understanding the tools and best practices available for gathering information, applying it to your project challenges, and assessing the results is necessary for project success. This course will be delivered through interactive presentations by our industry leading M&E practitioners, software developers, and data scientists. It will also include a unique hands-on learning environment with animated videos, technology demos, practical activities and more. Requirements This course is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course Objectives At the conclusion of the course, participants will be able to: • Critically analyze both the opportunities and the pitfalls that emerge when working with technology to carry out monitoring and evaluation work • Connect relevant development theories to the technological strategies and tools discussed in the course • Manage specific software platforms and tools for monitoring and evaluation activities • Design dynamic and effective strategies for using tools and platforms improve monitoring and evaluation efforts • Develop critical self-confidence for working with technology to address monitoring and evaluation challenges • Design an M&E system that considers the functions of both technical tools and M&E personnel Course Overview • Module I: Intro to Tech and M&E • Module II: Monitoring - Data Collection • Module III: Evaluation - Data Analysis and Visualization • Module IV: Integrating Technology-Enabled M&E Course Content Module I Intro to Tech and M&E Summary: By nature, monitoring and evaluation (M&E) is data intensive. In today’s era of ‘big data’ international aid donors and their populations are demanding greater transparency and accountability. This has led to increased importance and emphasis on M&E and ways to make the process more efficient through technology. • Overview of aspects of M&E and associated types of technology • Big Data and how it related to M&E • Data Responsibility • Open Data Module II Monitoring - Data Collection Summary: Data collection is a crucial step of M&E: in order to conduct thorough analyses, the right types of data need be collected. Technology has enabled development practitioners to reach more beneficiaries and provides greater variety of data collection and storage methods. • Mobile data collection • Remote Sensors • Mixed Methods Approach: collection methods for qualitative and quantitative data • Data Storage: Excel and beyond Module III Evaluation – Data Analysis and Visualization Summary: Technology has enabled dynamic data analysis based on live data. This module will focus on ways to analyze and visualize the data collected. • Data Visualization • Mapping • Dashboards Module IV Integrating Technology-Enabled M&E Summary: M&E and technology are usually late additions to program design, almost after thoughts. They do not always receive enough budgeting and are continually required to do more. Looking beyond just technology, integrating technology and M&E into earlier stages of design can produce more effective uses of technology-enabled M&E and more competitive proposals. • Human Centered Design • Real-time M&E • Impact Evaluation • Satellite Imaging Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE DATA COLLECTION USING ODK. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using OD[/b]K to be held in Nairobi, Kenya from [b]2nd to 6th Dec,2019 [b]Event Information Course Name[/b]: Mobile Data Collection Using ODK Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 2nd to 6th Dec,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact[i][/i] |
Dear All, RE: MOBILE DATA COLLECTION USING ODK. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using ODK to be held in Nairobi, Kenya from 2nd to 6th Dec,2019 Event Information Course Name: Mobile Data Collection Using ODK Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 2nd to 6th Dec,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact[i][/i] |
Dear All, RE: MOBILE DATA COLLECTION USING ODK. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using ODK to be held in Nairobi, Kenya from 2nd to 6th Dec,2019 Event Information Course Name: Mobile Data Collection Using ODK. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 2nd to 6th Dec,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact[i][/i]
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Dear All, RE: MOBILE-BASED DATA COLLECTION USING KOBO TOOlBOX Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection Using KoBo Toolbox to be held in Nairobi, Kenya from 4th to 8th Nov,2019 Event Information Course Name: Mobile Based Data Collection Using KoBo Toolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 4th to 8th Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugwww1ees/displaced Introduction Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. Who should attend? This training course is suitable for anyone who is interested in learning how to quickly collect and manage data using mobile devices. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding. Duration 5 Days Course objectives The course will introduce participants to tools and techniques for rapid data collection using innovative mobile data collection tools. At the end of the course, participants will become familiar with ICT tools and technologies to conduct data collection, extract data for analysis and map collected data using mapping software. Topics to be covered Module I • ICT Refresher • Introduction to Mobile Data Collection • Benefits of Mobile Based Data Collection • Challenges facing Mobile Based Data Collection and their work arounds. • Introduction to KoBoToolbox. Module II Getting started • Introduction to KoBoToolbox. • Types of questions. • Data types for each question. • Questionnaire logic. • Digitizing/building forms/survey authoring using KoBoToolbox. • Deploying forms. Device calibration (Mobile Phones/Tablets) • KoBoCollect installation and configuration. • Downloading forms into the mobile devices. • Collecting data using KoBoCollect • Hands-on Exercise. Survey data hosting • Uploading data to KoBoToolbox Data Analysis and Visualization using KoBoToolbox • Data Analysis and Visualization using KoBoToolbox Module III • Introduction to basic XLSForm syntax for survey authoring. Intermediate Survey Authoring using XLSForm syntax • New data types. • Notes and dates. • Multiple choice Questions. • Multiple Language Support. • Hints, metadata and more. • Conditional Survey Branching. • Required questions • Constraining responses • Skip: Asking Relevant questions • The specify (other) • Grouping questions. • Skipping many questions at once (Skipping a section). Etc • Extended data types geoid, image and multimedia Hands-on Exercises Module IV Advanced Survey Authoring using XLSForm syntax • Repeating a set of questions. • Special formatting. • Making dynamic calculations. • Survey Styling and formatting Form Validation • Troubleshooting common syntax errors. Hands-on Exercises Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan. Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: INSTALLATION USE AND MANAGEMENT OF DATA USING OPEN HDS AND ODK Tech For Development -T4D would like to invite you to a high impact Training Course in Installation Use and Management of Data Using Open HDS and ODK to be held in Nairobi, Kenya from 25th to 29th Nov, 2019 Event Information Course Name: Installation Use and Management of Data Using Open HDS and ODK. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 25th to 29th Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN: Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. INTRODUCTION Open HDS is an open source Android tablet application that enables community field workers to collect births, deaths, migrations, pregnancies, deliveries, immunization and other pertinent health information. Field workers can collect data "offline" and upload data to the Open HDS server when they have mobile connectivity. Health program administrators and policy makers can thus have real time access to health and demographic information in the community. The web-enabled, tablet-based Open HDS application allows users to efficiently select previously registered individuals and launch various Open Data Kit (ODK) forms to collect additional demographic, morbidity, and service delivery information. The mobile application facilitates the collection, through household interviews, of many health events that occur in the community (or outside the formal health system). Even with a relatively small target population, accurate and statistically significant health and demographic rates can be computed when health events are combined with ongoing population demographic information. In addition to computing demographic data, health administrators and researchers are able to assess health system utilization and the burden of disease for a given population over time. The Open HDS also maintains a consistent record of significant demographic events that occur to a population in a fixed geographic region and generates up to date registration books. This course focuses on installation, use and management of open HDS. The concepts presented are reinforced with practical exercises at the end of each section. We also provide additional exercises and materials at the end of each module and access to our experts for any further questions. .DURATION 5 days. WHO SHOULD ATTEND This course is geared towards clinical researchers, investigators, research nurses, study coordinators and all other study staff health records officers. LEARNING OBJECTIVES The training aims at building the capacity of researchers, health record managers and practitioners to monitor, manage and maintain demographic data and health information. TOPICS TO BE COVERED Module 1: Understanding HDS • Introduction and definitions • Standards (according to UN and WHO) and applications • Methodologies, Uses of HDS and Importance of HDS • Advantages • Disadvantages • Case study Module 2: Installation of the software • Installation of open HDS • Application and use of open HDS • Installation of ODK • Application and use of ODK Module 3: Connection of HDS and ODK • System design • Deployment/application • Improving data collection process • Standardizing direct data collection • How HDS and ODK work hand in hand Module 4: Connection of ODK Aggregate and ODK Collect • Definitions of ODK Aggregate and ODK Collect • Installation • Application • Importance of upgrading different servers Module 5: Data quality Management • Improving data collection process • Standardizing direct data collection • Database and data warehouses • Consistent and efficient data integration • Well structured, consistent data fields within the EWD(records) • Autonomy and data architects • Improved analysis through the use of Metadata Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE DATA COLLECTION FOR M&E USING ONA AND KoBo Toolbox. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ONA and KoBo Toolbox to be held in Nairobi, Kenya from 18th to 22nd Nov,2019 Event Information Course Name: Mobile Data Collection for M&E using ONA and KoBoToolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th to 22nd Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019 Event Information Course Name: Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 22nd Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire • Introduction to basic XLSForm syntax for survey authoring • Getting started – Survey authoring using XLSForm syntax • Types of questions • Form Validation and Conversion for ODK Aggregate • Troubleshooting common syntax errors Device calibration (Mobile Phones/Tablets) – ODK Collect • Introduction to ODK Collect • ODK Collect installation and configuration • Uploading forms into ODK Collect manually • Downloading form into ODK Collect from ODK Aggregate server Hosting survey data (Online) – ODK Aggregate • Introduction to Google app engine/Digital Ocean/AWS for ODK • Introduction to ODK Aggregate • ODK Aggregate – Download and setup • ODK Aggregate administration and calibration • Data analysis in ODK aggregate Downloading data for analysis • Downloading data from ODK Aggregate • Introduction to ODK Briefcase • Download and setup ODK Briefcase • ODK Briefcase calibration and administration Stata (Data Management and analysis) • Introduction to Data Management, Surveys and Experimental Designs • Data Collection Techniques • Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) • Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) • Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS • Basic conceptual understanding of cartography, GIS, and mapping • Gain familiarity with geographic data and information, and how it's encoded within computer files • Gain a basic familiarity with the QGIS interface • Gain awareness of spatial reference and projection issues • Perform basic map styling • Create and export a basic map as a static image file Thematic data mapping, Geocoding and point in polygon analysis • Load shape files and CSV data into QGIS • Data transformation • Create classed choropleth map • Adjust the legend to help the map tell a clearer story • Load tabular CSV data into QGIS and performing a tabular join • Learn about some of the geocoding tools available online • Understand and perform a point in polygon analysis Heat maps, creating and editing vector Geometries • Map point data • Create a 'heat map' representation of the data • Georeferencing • Digitizing data • Digitizing data with Open Street Map in QGIS • Importing OpenStreetMap data: SpatialLite Database • Data filtering and extraction • Exporting layers to a local CRS • Extracting and preparing thematic OSM data • Filtering OSM data to create desired features • Using the Graphical Processing Modeler to automate workflows Expected Training Outcomes By the end of this training course participants will have learnt: 1. How to develop, manage and administer and implement a mobile data collection platform using ODK. 2. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. 3. How to develop maps and perform geographical data analysis in QGIS Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear Colleague, RE: Mobile Data Collection Using ONA. Tech For Development-T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using ONA to be held in Nairobi, Kenya from 25th to 29th November 2019. Event Information ________________________________________ Course Name: Mobile Data Collection Using ONA Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 25th to 29th November 2019 Course Fee: KES 75,000 OR USD 1,100 Registration: Register online Why T4D? ________________________________________ We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world. We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change. This course is suitable for people working in: ________________________________________ Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. Introduction Data collection has always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with an additional GIS module to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will teach leaners how to implement a mobile data collection platform using ona.io. At the end of the course, learners will be able to setup, implement, manage and administer a mobile data collection application using the ona.io platform and develop maps using QGIS. Additionally, learners will be exposed to other available mobile data collection platforms. Course content Module I Introduction to the course • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires/instruments for Ona using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for Ona using xlsforms. Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module III Survey Authoring Using the Ona Form Builder Hand-on Exercise Module IV Data Collection, management, visualization, analysis and extraction using ona • Device setup and calibration • Data management using ona.io • Data visualization using ona.io • Data analysis using ona.io • Maps in ona.io • Chats • Extracting/Exporting data for analysis • Platform administration Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Developing maps Hand-on Exercise Discussion on the Choice of Platform Integrating Mobile Data Collection tools into projects Customized training This training can also be customized for your institution upon request. You can have it delivered your preferred location. Requirements Participants should be reasonably proficient in English. Training fee The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses. Accommodation Accommodation is arranged upon request. For reservations contact us below. Email: outreach@t4d.co.ke Mobile: +254 (0) 729166479 Payment Payment should be transferred to bank before commencement of training. Send proof of payment to Email: outreach@t4d.co.ke Testimonial Kindly visit this link to see video and photo testimonials of our previous training events. FAQS Need more information? Kindly visit this link to see answers to frequently asked questions. Contact information ________________________________________ Tel: +254 706909947 Email: outreach@t4d.co.ke Website: www.t4d.co.ke Kind regards. Kelvin K. Mwangi Customer Relationship Officer, Tech For Development. Innovation for impact |
Dear All, RE: MOBILE DATA COLLECTION FOR M&E USING ONA AND KoBo Toolbox. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ONA and KoBo Toolbox to be held in Nairobi, Kenya from 18th to 22nd Nov,2019 Event Information Course Name: Mobile Data Collection for M&E using ONA and KoBoToolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th to 22nd Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019 Event Information Course Name: Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 22nd Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire • Introduction to basic XLSForm syntax for survey authoring • Getting started – Survey authoring using XLSForm syntax • Types of questions • Form Validation and Conversion for ODK Aggregate • Troubleshooting common syntax errors Device calibration (Mobile Phones/Tablets) – ODK Collect • Introduction to ODK Collect • ODK Collect installation and configuration • Uploading forms into ODK Collect manually • Downloading form into ODK Collect from ODK Aggregate server Hosting survey data (Online) – ODK Aggregate • Introduction to Google app engine/Digital Ocean/AWS for ODK • Introduction to ODK Aggregate • ODK Aggregate – Download and setup • ODK Aggregate administration and calibration • Data analysis in ODK aggregate Downloading data for analysis • Downloading data from ODK Aggregate • Introduction to ODK Briefcase • Download and setup ODK Briefcase • ODK Briefcase calibration and administration Stata (Data Management and analysis) • Introduction to Data Management, Surveys and Experimental Designs • Data Collection Techniques • Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) • Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) • Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS • Basic conceptual understanding of cartography, GIS, and mapping • Gain familiarity with geographic data and information, and how it's encoded within computer files • Gain a basic familiarity with the QGIS interface • Gain awareness of spatial reference and projection issues • Perform basic map styling • Create and export a basic map as a static image file Thematic data mapping, Geocoding and point in polygon analysis • Load shape files and CSV data into QGIS • Data transformation • Create classed choropleth map • Adjust the legend to help the map tell a clearer story • Load tabular CSV data into QGIS and performing a tabular join • Learn about some of the geocoding tools available online • Understand and perform a point in polygon analysis Heat maps, creating and editing vector Geometries • Map point data • Create a 'heat map' representation of the data • Georeferencing • Digitizing data • Digitizing data with Open Street Map in QGIS • Importing OpenStreetMap data: SpatialLite Database • Data filtering and extraction • Exporting layers to a local CRS • Extracting and preparing thematic OSM data • Filtering OSM data to create desired features • Using the Graphical Processing Modeler to automate workflows Expected Training Outcomes By the end of this training course participants will have learnt: 1. How to develop, manage and administer and implement a mobile data collection platform using ODK. 2. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. 3. How to develop maps and perform geographical data analysis in QGIS Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE DATA COLLECTION FOR M&E USING ONA AND KoBo Toolbox. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ONA and KoBo Toolbox to be held in Nairobi, Kenya from 18th to 22nd Nov,2019 Event Information Course Name: Mobile Data Collection for M&E using ONA and KoBoToolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th to 22nd Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019 Event Information Course Name: Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 22nd Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire • Introduction to basic XLSForm syntax for survey authoring • Getting started – Survey authoring using XLSForm syntax • Types of questions • Form Validation and Conversion for ODK Aggregate • Troubleshooting common syntax errors Device calibration (Mobile Phones/Tablets) – ODK Collect • Introduction to ODK Collect • ODK Collect installation and configuration • Uploading forms into ODK Collect manually • Downloading form into ODK Collect from ODK Aggregate server Hosting survey data (Online) – ODK Aggregate • Introduction to Google app engine/Digital Ocean/AWS for ODK • Introduction to ODK Aggregate • ODK Aggregate – Download and setup • ODK Aggregate administration and calibration • Data analysis in ODK aggregate Downloading data for analysis • Downloading data from ODK Aggregate • Introduction to ODK Briefcase • Download and setup ODK Briefcase • ODK Briefcase calibration and administration Stata (Data Management and analysis) • Introduction to Data Management, Surveys and Experimental Designs • Data Collection Techniques • Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) • Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) • Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS • Basic conceptual understanding of cartography, GIS, and mapping • Gain familiarity with geographic data and information, and how it's encoded within computer files • Gain a basic familiarity with the QGIS interface • Gain awareness of spatial reference and projection issues • Perform basic map styling • Create and export a basic map as a static image file Thematic data mapping, Geocoding and point in polygon analysis • Load shape files and CSV data into QGIS • Data transformation • Create classed choropleth map • Adjust the legend to help the map tell a clearer story • Load tabular CSV data into QGIS and performing a tabular join • Learn about some of the geocoding tools available online • Understand and perform a point in polygon analysis Heat maps, creating and editing vector Geometries • Map point data • Create a 'heat map' representation of the data • Georeferencing • Digitizing data • Digitizing data with Open Street Map in QGIS • Importing OpenStreetMap data: SpatialLite Database • Data filtering and extraction • Exporting layers to a local CRS • Extracting and preparing thematic OSM data • Filtering OSM data to create desired features • Using the Graphical Processing Modeler to automate workflows Expected Training Outcomes By the end of this training course participants will have learnt: 1. How to develop, manage and administer and implement a mobile data collection platform using ODK. 2. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. 3. How to develop maps and perform geographical data analysis in QGIS Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE-BASED DATA COLLECTION USING KOBO TOOlBOX Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection Using KoBo Toolbox to be held in Nairobi, Kenya from 4th to 8th Nov,2019 Event Information Course Name: Mobile Based Data Collection Using KoBo Toolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 4th to 8th Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugwww1ees/displaced Introduction Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. Who should attend? This training course is suitable for anyone who is interested in learning how to quickly collect and manage data using mobile devices. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding. Duration 5 Days Course objectives The course will introduce participants to tools and techniques for rapid data collection using innovative mobile data collection tools. At the end of the course, participants will become familiar with ICT tools and technologies to conduct data collection, extract data for analysis and map collected data using mapping software. Topics to be covered Module I • ICT Refresher • Introduction to Mobile Data Collection • Benefits of Mobile Based Data Collection • Challenges facing Mobile Based Data Collection and their work arounds. • Introduction to KoBoToolbox. Module II Getting started • Introduction to KoBoToolbox. • Types of questions. • Data types for each question. • Questionnaire logic. • Digitizing/building forms/survey authoring using KoBoToolbox. • Deploying forms. Device calibration (Mobile Phones/Tablets) • KoBoCollect installation and configuration. • Downloading forms into the mobile devices. • Collecting data using KoBoCollect • Hands-on Exercise. Survey data hosting • Uploading data to KoBoToolbox Data Analysis and Visualization using KoBoToolbox • Data Analysis and Visualization using KoBoToolbox Module III • Introduction to basic XLSForm syntax for survey authoring. Intermediate Survey Authoring using XLSForm syntax • New data types. • Notes and dates. • Multiple choice Questions. • Multiple Language Support. • Hints, metadata and more. • Conditional Survey Branching. • Required questions • Constraining responses • Skip: Asking Relevant questions • The specify (other) • Grouping questions. • Skipping many questions at once (Skipping a section). Etc • Extended data types geoid, image and multimedia Hands-on Exercises Module IV Advanced Survey Authoring using XLSForm syntax • Repeating a set of questions. • Special formatting. • Making dynamic calculations. • Survey Styling and formatting Form Validation • Troubleshooting common syntax errors. Hands-on Exercises Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan. Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE DATA COLLECTION FOR M&E USING ONA AND KoBo Toolbox. Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ONA and KoBo Toolbox to be held in Nairobi, Kenya from 18th to 22nd Nov,2019 Event Information Course Name: Mobile Data Collection for M&E using ONA and KoBoToolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th to 22nd Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend? The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days[b] Course objectives[/b] The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual. Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Sylvia Kura, Customer Relationship Officer, Tech For Development Innovation for impact
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Dear Colleague, RE: Mobile Data Collection Using ONA. Tech For Development-T4D would like to invite you to a high impact Training Course in Mobile Data Collection Using ONA to be held in Nairobi, Kenya from 25th to 29th November 2019. Event Information ________________________________________ Course Name: Mobile Data Collection Using ONA Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 25th to 29th November 2019 Course Fee: KES 75,000 OR USD 1,100 Registration: Register online Why T4D? ________________________________________ We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world. We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change. This course is suitable for people working in: ________________________________________ Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. Introduction Data collection has always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with an additional GIS module to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will teach leaners how to implement a mobile data collection platform using ona.io. At the end of the course, learners will be able to setup, implement, manage and administer a mobile data collection application using the ona.io platform and develop maps using QGIS. Additionally, learners will be exposed to other available mobile data collection platforms. Course content Module I Introduction to the course • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires/instruments for Ona using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for Ona using xlsforms. Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module III Survey Authoring Using the Ona Form Builder Hand-on Exercise Module IV Data Collection, management, visualization, analysis and extraction using ona • Device setup and calibration • Data management using ona.io • Data visualization using ona.io • Data analysis using ona.io • Maps in ona.io • Chats • Extracting/Exporting data for analysis • Platform administration Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Developing maps Hand-on Exercise Discussion on the Choice of Platform Integrating Mobile Data Collection tools into projects Customized training This training can also be customized for your institution upon request. You can have it delivered your preferred location. Requirements Participants should be reasonably proficient in English. Training fee The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses. Accommodation Accommodation is arranged upon request. For reservations contact us below. Email: outreach@t4d.co.ke Mobile: +254 (0) 729166479 Payment Payment should be transferred to bank before commencement of training. Send proof of payment to Email: outreach@t4d.co.ke Testimonial Kindly visit this link to see video and photo testimonials of our previous training events. FAQS Need more information? Kindly visit this link to see answers to frequently asked questions. Contact information ________________________________________ Tel: +254 706909947 Email: outreach@t4d.co.ke Website: www.t4d.co.ke Kind regards. Kelvin K. Mwangi Customer Relationship Officer, Tech For Development. Innovation for impact
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Dear All, RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019 Event Information Course Name: Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 22nd Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire • Introduction to basic XLSForm syntax for survey authoring • Getting started – Survey authoring using XLSForm syntax • Types of questions • Form Validation and Conversion for ODK Aggregate • Troubleshooting common syntax errors Device calibration (Mobile Phones/Tablets) – ODK Collect • Introduction to ODK Collect • ODK Collect installation and configuration • Uploading forms into ODK Collect manually • Downloading form into ODK Collect from ODK Aggregate server Hosting survey data (Online) – ODK Aggregate • Introduction to Google app engine/Digital Ocean/AWS for ODK • Introduction to ODK Aggregate • ODK Aggregate – Download and setup • ODK Aggregate administration and calibration • Data analysis in ODK aggregate Downloading data for analysis • Downloading data from ODK Aggregate • Introduction to ODK Briefcase • Download and setup ODK Briefcase • ODK Briefcase calibration and administration Stata (Data Management and analysis) • Introduction to Data Management, Surveys and Experimental Designs • Data Collection Techniques • Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) • Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) • Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS • Basic conceptual understanding of cartography, GIS, and mapping • Gain familiarity with geographic data and information, and how it's encoded within computer files • Gain a basic familiarity with the QGIS interface • Gain awareness of spatial reference and projection issues • Perform basic map styling • Create and export a basic map as a static image file Thematic data mapping, Geocoding and point in polygon analysis • Load shape files and CSV data into QGIS • Data transformation • Create classed choropleth map • Adjust the legend to help the map tell a clearer story • Load tabular CSV data into QGIS and performing a tabular join • Learn about some of the geocoding tools available online • Understand and perform a point in polygon analysis Heat maps, creating and editing vector Geometries • Map point data • Create a 'heat map' representation of the data • Georeferencing • Digitizing data • Digitizing data with Open Street Map in QGIS • Importing OpenStreetMap data: SpatialLite Database • Data filtering and extraction • Exporting layers to a local CRS • Extracting and preparing thematic OSM data • Filtering OSM data to create desired features • Using the Graphical Processing Modeler to automate workflows Expected Training Outcomes By the end of this training course participants will have learnt: 1. How to develop, manage and administer and implement a mobile data collection platform using ODK. 2. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. 3. How to develop maps and perform geographical data analysis in QGIS Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: DATA COLLECTION, MANAGEMENT, ANALYSIS AND MAPPING USING ODK, STATA AND QGIS Tech For Development -T4D would like to invite you to a high impact Training Course in Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis to be held in Nairobi, Kenya from 11th to 22nd Nov, 2019 Event Information Course Name: Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 11th to 22nd Nov, 2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here Introduction ODK Open data kit, commonly referred to as ODK is a set of popular free and open source tools that allow us to collect data using mobile devices. Being a pioneer tool of its nature, ODK is one of the most popular mobile data collection tools. The fact that ODK is free and open source also makes it a darling to users considering the budget constraints that come with projects. Other reasons for its popularity include but not limited to: Allows offline data collection, has an active online community and support base, ability to collect rich data (photos, audio, video, signature etc), ability to collect location data (points, traces and polygon), allows collaboration and data sharing. Stata From simple to complex datasets, STATA makes it easy for analysts to maximize the use of their data. Other than quantitative data analyses, STATA can be used for exploring and analyzing geo-tagged datasets. The Graphical User Interface (GUI) of STATA is user-friendly for beginners, and those not familiar with commands. QGIS (Mapping) A Geographic Information System is a multi-component environment used to create, manage, visualize and analyze data and its spatial counterpart. Most datasets you will encounter in your lifetime can all be assigned a spatial location whether on the earth’s surface or within some arbitrary coordinate system (such as a soccer field or a gridded petri dish). So, in essence, any dataset can be represented in a GIS. Duration 10 days Why this course Data collection, management, analyses and mapping has always been a bully for many people, either because of their divergent academic background from research/statistics/GIS and/or mathematics, or because they have not been introduced well to understanding data and analyzing it for information purposes. Whether you are a researcher or a member of project management team, evidence-based decision making is becoming a mandatory tool in organizations and for prioritizing development needs. Who should attend Any person willing to learn mobile data collection using ODK, data management and analysis using STATA and mapping using QGIS to improve their general knowledge on data collection, management, analyses and mapping for academic research, organizational data, or wanting to switch to new technologies for data processing has the right footing to this course. Requirements Participants are advised to bring a PC laptop with Windows XP Service Pack 3 or later with at least 2GB of RAM. You should also ensure that the laptop is installed with a genuine antivirus and is well updated. If your computer is password protected please ensure that you have the administrator password for the purpose of installing software during the training. Course Outline ODK (Mobile Data Collection) Digitizing your questionnaire • Introduction to basic XLSForm syntax for survey authoring • Getting started – Survey authoring using XLSForm syntax • Types of questions • Form Validation and Conversion for ODK Aggregate • Troubleshooting common syntax errors Device calibration (Mobile Phones/Tablets) – ODK Collect • Introduction to ODK Collect • ODK Collect installation and configuration • Uploading forms into ODK Collect manually • Downloading form into ODK Collect from ODK Aggregate server Hosting survey data (Online) – ODK Aggregate • Introduction to Google app engine/Digital Ocean/AWS for ODK • Introduction to ODK Aggregate • ODK Aggregate – Download and setup • ODK Aggregate administration and calibration • Data analysis in ODK aggregate Downloading data for analysis • Downloading data from ODK Aggregate • Introduction to ODK Briefcase • Download and setup ODK Briefcase • ODK Briefcase calibration and administration Stata (Data Management and analysis) • Introduction to Data Management, Surveys and Experimental Designs • Data Collection Techniques • Introduction to STATA datasets, Edit, Browse, List, Generating Variables, Codebook, Use written programs) Data Management in STATA (Import, Data Labelling, Handling Duplicates, Missing Values, Reshape, Append, Merge, Collapse, Data Transformation, Creating Dummy Variables) • Data Exploration (Simple tables, cross tabulation with measures of association, Measures of Central Tendency, Outliers, Quartiles, Percentiles, Skewness, Kurtosis, Variance, Standard Deviation, Standard Errors, Ladder/Gladder) • Advanced Analyses (Normality tests, variance tests, t-tests, One-way & Two-way ANOVA, MANOVA, ANCOVA, OLS Regression, Logistic/Binomial Regression, Factor Analyses/PCA, GLM, Cox Regression, Other Regression Models) QGIS (Mapping) Introduction, cartography and GIS, and creating maps in QGIS • Basic conceptual understanding of cartography, GIS, and mapping • Gain familiarity with geographic data and information, and how it's encoded within computer files • Gain a basic familiarity with the QGIS interface • Gain awareness of spatial reference and projection issues • Perform basic map styling • Create and export a basic map as a static image file Thematic data mapping, Geocoding and point in polygon analysis • Load shape files and CSV data into QGIS • Data transformation • Create classed choropleth map • Adjust the legend to help the map tell a clearer story • Load tabular CSV data into QGIS and performing a tabular join • Learn about some of the geocoding tools available online • Understand and perform a point in polygon analysis Heat maps, creating and editing vector Geometries • Map point data • Create a 'heat map' representation of the data • Georeferencing • Digitizing data • Digitizing data with Open Street Map in QGIS • Importing OpenStreetMap data: SpatialLite Database • Data filtering and extraction • Exporting layers to a local CRS • Extracting and preparing thematic OSM data • Filtering OSM data to create desired features • Using the Graphical Processing Modeler to automate workflows Expected Training Outcomes By the end of this training course participants will have learnt: 1. How to develop, manage and administer and implement a mobile data collection platform using ODK. 2. The core statistical concepts, clearly demonstrate data management and analyses skills in STATA. 3. How to develop maps and perform geographical data analysis in QGIS Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English. Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear Colleague, RE: Mobile Data Collection for M&E using ODK and KoBoToolbox Tech For Development-T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ODK and KoBoToolbox to be held in Nairobi, Kenya from 18th November to 22nd November 2019. Event Information ________________________________________ Course Name: Mobile Data Collection for M&E using ODK and KoBoToolbox Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th November to 22nd November 2019 Course Fee: KES 75,000 OR USD 1,100 Registration: Register online Why T4D? ________________________________________ We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world. We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change. This course is suitable for people working in: ________________________________________ Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Customized training This training can also be customized for your institution upon request. You can have it delivered your preferred location. Requirements Participants should be reasonably proficient in English. Training fee The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses. Accommodation Accommodation is arranged upon request. For reservations contact us below. Payment Payment should be transferred to bank before commencement of training. Testimonial Kindly visit this link to see video and photo testimonials of our previous training events. FAQS Need more information? Kindly visit this link to see answers to frequently asked questions. Contact information ________________________________________ Tel: +254 706909947 Email: outreach@t4d.co.ke Website: www.t4d.co.ke Kind regards. Kelvin K. Mwangi Customer Relationship Officer, Tech For Development. Innovation for impact |
Dear All, RE: MOBILE-BASED DATA COLLECTION USING KOBO TOOlBOX Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection Using KoBo Toolbox to be held in Nairobi, Kenya from 4th to 8th Nov,2019 Event Information Course Name:Mobile Based Data Collection Using KoBo Toolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 4th to 8th Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugwww1ees/displaced Introduction Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. Who should attend? This training course is suitable for anyone who is interested in learning how to quickly collect and manage data using mobile devices. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding. Duration 5 Days Course objectives The course will introduce participants to tools and techniques for rapid data collection using innovative mobile data collection tools. At the end of the course, participants will become familiar with ICT tools and technologies to conduct data collection, extract data for analysis and map collected data using mapping software. Topics to be covered Module I • ICT Refresher • Introduction to Mobile Data Collection • Benefits of Mobile Based Data Collection • Challenges facing Mobile Based Data Collection and their work arounds. • Introduction to KoBoToolbox. Module II Getting started • Introduction to KoBoToolbox. • Types of questions. • Data types for each question. • Questionnaire logic. • Digitizing/building forms/survey authoring using KoBoToolbox. • Deploying forms. Device calibration (Mobile Phones/Tablets) • KoBoCollect installation and configuration. • Downloading forms into the mobile devices. • Collecting data using KoBoCollect • Hands-on Exercise. Survey data hosting • Uploading data to KoBoToolbox Data Analysis and Visualization using KoBoToolbox • Data Analysis and Visualization using KoBoToolbox Module III • Introduction to basic XLSForm syntax for survey authoring. Intermediate Survey Authoring using XLSForm syntax • New data types. • Notes and dates. • Multiple choice Questions. • Multiple Language Support. • Hints, metadata and more. • Conditional Survey Branching. • Required questions • Constraining responses • Skip: Asking Relevant questions • The specify (other) • Grouping questions. • Skipping many questions at once (Skipping a section). Etc • Extended data types geoid, image and multimedia Hands-on Exercises Module IV Advanced Survey Authoring using XLSForm syntax • Repeating a set of questions. • Special formatting. • Making dynamic calculations. • Survey Styling and formatting Form Validation • Troubleshooting common syntax errors. Hands-on Exercises Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan. Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. Participant’s Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear All, RE: MOBILE-BASED DATA COLLECTION USING KoBo Toolbox Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection Using KoBo Toolbox to be held in Nairobi, Kenya from 4th to 8th Nov,2019 Event Information Course Name:Mobile Based Data Collection KoBo Toolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 4th to 8th Nov,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration: Register here THIS COURSE IS SUITABLE FOR PEOPLE WORKING IN Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugwww1ees/displaced Introduction Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. Who should attend? This training course is suitable for anyone who is interested in learning how to quickly collect and manage data using mobile devices. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding. Duration 5 Days Course objectives The course will introduce participants to tools and techniques for rapid data collection using innovative mobile data collection tools. At the end of the course, participants will become familiar with ICT tools and technologies to conduct data collection, extract data for analysis and map collected data using mapping software. Topics to be covered Module I • ICT Refresher • Introduction to Mobile Data Collection • Benefits of Mobile Based Data Collection • Challenges facing Mobile Based Data Collection and their work arounds. • Introduction to KoBoToolbox. Module II Getting started • Introduction to KoBoToolbox. • Types of questions. • Data types for each question. • Questionnaire logic. • Digitizing/building forms/survey authoring using KoBoToolbox. • Deploying forms. Device calibration (Mobile Phones/Tablets) • KoBoCollect installation and configuration. • Downloading forms into the mobile devices. • Collecting data using KoBoCollect • Hands-on Exercise. Survey data hosting • Uploading data to KoBoToolbox Data Analysis and Visualization using KoBoToolbox • Data Analysis and Visualization using KoBoToolbox Module III • Introduction to basic XLSForm syntax for survey authoring. Intermediate Survey Authoring using XLSForm syntax • New data types. • Notes and dates. • Multiple choice Questions. • Multiple Language Support. • Hints, metadata and more. • Conditional Survey Branching. • Required questions • Constraining responses • Skip: Asking Relevant questions • The specify (other) • Grouping questions. • Skipping many questions at once (Skipping a section). Etc • Extended data types geoid, image and multimedia Hands-on Exercises Module IV Advanced Survey Authoring using XLSForm syntax • Repeating a set of questions. • Special formatting. • Making dynamic calculations. • Survey Styling and formatting Form Validation • Troubleshooting common syntax errors. Hands-on Exercises Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Action plan. Methodology This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. Participant’s Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear Colleague, RE: Mobile Data Collection for M&E using ODK and KoBoToolbox Tech For Development-T4D would like to invite you to a high impact Training Course in Mobile Data Collection for M&E using ODK and KoBoToolbox to be held in Nairobi, Kenya from 18th November to 22nd November 2019. Event Information ________________________________________ Course Name: Mobile Data Collection for M&E using ODK and KoBoToolbox Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 18th October to 22nd November 2019 Course Fee: KES 75,000 OR USD 1,100 Registration: Register online Why T4D? ________________________________________ We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world. We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change. This course is suitable for people working in: ________________________________________ Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. Introduction Data collection and monitoring and evaluation (M&E) have always been an integral part of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. This training course also comes with additional M&E and GIS modules to help participants put the skills acquired into perspective. The GIS module will help participants work with spatial data. Who should attend The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. Requirements This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration 5 Days Course objectives The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. Course content Module I Introduction to the course • M&E Refresher • ICT refresher • Introduction to mobile data collection systems architecture. • Introduction to common mobile based data collection tools, techniques and platform. • Benefits of mobile data collection. • Challenges of Mobile Based Data Collection. • Best Practices. Hand-on Exercise Module II Introduction to Survey Authoring/Digitization • Introduction to xlsforms syntax for survey authoring - Digitizing questionnaires for ODK using xlsforms. Intermediate Survey Authoring/Digitization • Intermediate survey authoring: Digitizing questionnaires for ODK using xlsforms. Hand-on Exercise Module III Advanced Survey Authoring/Digitization • Advanced survey authoring: Digitizing questionnaires for ODK using xlsforms. • Questionnaire logic. • Xlsforms troubleshooting • Converting xlsforms to XML • XML forms validation Hand-on Exercise Module IV Survey Data Hosting • Setting up an Apps Engine Account • Setting up ODK aggregate server in a cloud server. • Setting up ODK Collect for Mobile data collection. • Uploading XML forms to ODK Aggregate • Hosting platform quota management. • Data Visualization and analysis on ODK Aggregate. • Downloading/extracting data from ODK Aggregate for analysis. • Mobile device calibration for data collection. • Managing data collection in the field Hand-on Exercise Mobile Data Collection Using KoBoToolbox • How to digitize questionnaires using an easy web-based interface. • Hosting data on KoBoToolbox. • Setting up KoBo Collect for mobile data collection. • Mobile device calibration for data collection. • Visualizing and analyzing data on KoBoToolbox. • Downloading/extracting data for analysis. Hand-on Exercise Module V (GIS) Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Hand-on Exercise Customized training This training can also be customized for your institution upon request. You can have it delivered your preferred location. Requirements Participants should be reasonably proficient in English. Training fee The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses. Accommodation Accommodation is arranged upon request. For reservations contact us below. Payment Payment should be transferred to bank before commencement of training. Testimonial Kindly visit this link to see video and photo testimonials of our previous training events. FAQS Need more information? Kindly visit this link to see answers to frequently asked questions. • Contact information ________________________________________ Tel: +254 706909947 Email: outreach@t4d.co.ke Website: www.t4d.co.ke Kind regards. Kelvin K. Mwangi Customer Relationship Officer, Tech For Development. Innovation for impact |
Dear All, RE: MOBILE-BASED DATA COLLECTION FOR M&E USING ONA AND KoBo Toolbox Tech For Development -T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection For M&E Using ONA and KoBo Toolbox to be held in Nairobi, Kenya from 21st to 25th Oct,2019 Event Information Course Name:Mobile Based Data Collection For M&E Using ONA and KoBo Toolbox. Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 21st to 25th Oct,2019 Course Fee: KES 75,000 OR USD 1,100 Online Registration:Register here INTRODUCTION This instructor led training course will be delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. The course will give participants an in-depth understanding of both Ona.io and KoBo Toolbox. 90% of the five days includes hands-on instructor led practical lessons. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. Participants should be reasonably proficient in English WHO SHOULD ATTEND The course is designed for representatives from government, project teams, NGOs, multi and bilateral development organizations, consultancies, etc, that are typically employed as project managers and directors, M&E specialists, technical specialists, and researchers. REQUIREMENTS This training is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. DURATION 5 Days COURSE OBJECTIVES The course will introduce participants to tools and techniques to gather data for project/programme outcomes to stakeholders using innovative Mobile data gathering tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis, and reporting. COURSE CONTENT Introduction • Introduction to KoBo Toolbox and Ona • Types of questions • Data types for each question. • Questionnaire logic Survey Authoring using KoBo Toolbox and Ona web Form builders • Introduction to survey authoring Advanced survey authoring • Single/Multiple response questions • Repeat questions • Skip logic and patterns • Group questions • GPS • Images • Audio • Videos • Data referencing • Cascading select • Metadata Survey data hosting • Survey data hosting using KoBoToolbox • Survey data hosting using Ona Account management • Account management and setting in KoBo toolbox • Account management and setting in Ona Data management and analysis • Data Analysis and Visualization using KoBoToolbox • Data Analysis and Visualization using Ona XLSForm Authoring • Notes and dates. • Multiple choice Questions. • Multiple Language Support. • Hints, metadata and more. • Conditional Survey Branching. • Required questions • Constraining responses • Skip: Asking Relevant questions • The specify (other) • Grouping questions. • Skipping many questions at once (Skipping a section) • Repeating a set of questions. • Special formatting. • Making dynamic calculations. • Survey Styling and formatting – Working with the appearance column. • Working with media files. • Cascading select • External selects Data Collection • KoBo Collect installation and configuration. • ODK Collect installation and configuration. • Downloading forms into the mobile devices. • Collecting data using KoBo Collect and ODK Collect Spatial Mapping • Introduction to GIS • Working with Spatial data (GPS Coordinates) • Introduction to Fusion Table • Exporting GPS Coordinates (Google maps) to Fusion tables • Exporting data to Fusion tables using QGIS • Converting data to shape files • Choice of Platform • Discussion on the Choice of Platform • Integrating Mobile Data Collection tools into projects Action plan Visit our website for more details. Tailor-made training This training course can also be tailored for your organization. This way, your organization will benefit by: • Using own datasets and tools during the training. • Being able to choose areas of interest you wish the trainer to put more emphasis on. • Taking the course in-house or at a venue of choice. • Cutting on the cost of transport and accommodation. Testimonials Kindly visit this link to see video and photo testimonials of our previous training events. FAQs Need more information? Kindly visit this link to see answers to frequently asked questions. How to participate Register as individual Contact information Email: outreach@t4d.co.ke Tel: +254 706909947 Website: www.t4d.co.ke Kind regards. Rose Muthoni, Customer Relationship Officer, Tech For Development Innovation for impact |
Dear Colleague, RE: MOBILE BASED DATA COLLECTION USING ODK Tech For Development-T4D would like to invite you to a high impact Training Course in Mobile Based Data Collection Using ODK to be held in Nairobi, Kenya from 28th October to 1st November 2019. Event Information ________________________________________ Course Name: Mobile Based Data Collection Using ODK Venue: Tech for Development Training Center, Nairobi, Kenya Event Date: 28th October to 1st November 2019 Course Fee: KES 75,000 OR USD 1,100 Registration: Register online Why T4D? ________________________________________ We are an international training, capacity building and tech solutions organization that offers tech solutions, scheduled and tailor made training and capacity building solutions to individuals and development agencies in Africa and around the world. We provide our training programs with a capacity-building goal, so as to ensure that, our training programs contribute to sustainable change. This course is suitable for people working in: ________________________________________ Impact Evaluation, Monitoring and Evaluation, Academic Research, Market Research, Field Research, Agriculture, Health, Education, WASH, Handicapped, Human rights, Emergencies/disasters, Advocacy, Education, Environment, Small business development, Community development, Rural development, Women, Youth, Population, Rehabilitation, Culture, Capacity Building, Appropriate technology, Income, generation, Private sector, Refugees/displaced. Introduction ________________________________________ Data collection has always been an integral part of development work. In the past, this task was performed with paper and pen, which made it prone to error, difficult to conduct on a large scale, and high in transaction costs. ICT tools such as mobile devices and software that allows users to create surveys, collect, manage and upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection. If you have always wanted to learn how to collect, manage and analyze project data using mobile devices, this training course is for you. Who should attend? ________________________________________ This course is suitable for anyone who is interested in learning how to collect and manage project data using mobile devices. Requirements ________________________________________ This course is designed for participants who are reasonably proficient in English and have an understanding of basic ICT concepts. Duration ________________________________________ 5 days. Course objectives ________________________________________ The course will introduce participants to tools and techniques to collect data for projects/programmes using innovative Mobile data collection tools. At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting. Topics to be covered ________________________________________ • Getting started • Form Validation and Conversion • Device calibration (Mobile Phones/Tablets) • Hosting survey data (Online) • Intermediate Survey Authoring • Hands-on Exercises • Advanced Survey Authoring • Hands-on Exercises • Form Design using web platforms • Downloading data • Hand-on Exercise Methodology ________________________________________ This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these field. All facilitation and course materials will be offered in English. Participants should be reasonably proficient in English. How to register ________________________________________ To register online, click: Register Online To view course, click: View Course Accomodation ________________________________________ Accommodation is arranged upon request. For reservations contact the Training Officer. Tel: +254 706909947 Email: outreach@t4d.co.ke Training Fee ________________________________________ The course fee is KES 75,000.00 or USD 1,100.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs. Organizations who send more than three participants automatically qualify for a 10% discount. Contact information ________________________________________ Tel: +254 706909947 Email: : outreach@t4d.co.ke Website: www.t4d.co.ke Kind regards. Jeff Karani, Team Leader, Tech For Development. Innovation for impact |