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Better Timely Data Collection, Analysis And Visualization Using ODK, SPSS/STATA by FINERESULTS(m): 8:17am On Jan 18, 2021 |
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya. Date: Event 15th -26th /03/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS 12th -23rd /04/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS 17th – 28th /05/2021: Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS 14th – 25th /06/2021 : Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS Venue: FineResults Research Services, Nairobi, Kenya Training Centre. Click to Register: Physical class USD 1600 : Online Training USD 1400 Contact us: email: training@fineresultsresearch.org or Cell phone (+254 759 285 295) INTRODUCTION Evidenced based policies for sustainable development and better lives call for better data. Improving the capacity of people involved in data collection, analysis and report writing in ensuring quality data is of significance. Following the changing data environment from use of paper in capturing data to use of digital innovation, there is need to train actors involved in data collection to help them adapt to the upcoming innovations and technologies. Some of the data that are collected through the new technologies include geospatial data, mobile phone, administrative data and citizen-generated data among others. This 10 days course will equip participants with knowledge on research design, designing data collection tools in mobile data collection enabled software, GIS and remote sensing, exporting data to various data collection software, data analysis and interpretation. DURATION 10 days WHO SHOULD ATTEND? • Policy makers • Researchers • NGO and civil society staffs • Educators • Post graduate students • Private sector representatives • Media staffs • Civil Society Organizations LEARNING OBJECTIVES At the end of training participants will: • Understand various data collection techniques and data processing methods • Design data collection tools in google phone/ ODK/CTO/ CSpro (participants’ choice) • Learn how to use mobile phones in data collection(Open data Kit/CTO/CSpro) • Learn how to integrate socio economic data with GPS coordinates • Learn how to draw maps using ArcGIS among other software • Learn how to analyze and visualize data with the aid of GIS techniques Module 1: Statistical Concepts • Types of data • Data Structures and types of variables • Overviews of software used to digitize paper data collection tools (ODK/CTO/) • Comparative analysis of various software used to digitize paper data collection tools (ODK/CTO) Module 2: Mobile Data gathering • Benefits of Mobile Applications • Data and types of Data • Introduction to common mobile based data collection platforms Module 3: Managing devices • Challenges of Data Collection • Data aggregation, storage and dissemination • Questionnaire Design Module 4: Getting started in ODK/CTO • Types of questions • Data types for each question • Types of questionnaire or Form logic • Extended data types geoid, image and multimedia Survey Authoring and Preparation of mobile phone for data collection • Survey Authoring • ODK Collect applications: Installing, Configuring the device (Mobile Phones) and uploading the form into the mobile devices Module 5: Designing forms and advanced survey authoring • Introduction to XLS forms syntax • New data types • Notes and dates • Multiple choice Questions • Multiple Language Support • Hints and Metadata Advanced survey Authoring • 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 Hosting survey data (Online) • ODK Aggregate • Uploading the questionnaire to the server Module 6: Introduction to concepts of GIS and remote sensing • Spatial data collection techniques • Using GPS • Using GPS utility software for managing and downloading and managing data • Working with data from different sources Module7: Attributes manipulation in GIS • GIS software • GIS system installation and setup • GIS Data sources and types • Using Mobile Phones for GIS data collection(ODK and KoBoToolbox • Importing GPS data to Quantum GIS Module 8: Visualizing data • Understand map layers in GIS • Composing a GIS layout from GIS layers • Difference between a map and a layout • Navigate maps Module 9: Bringing tabular/spreadsheet data into a GIS (Excel, SPSS, Access ) • Connecting visual map features and tabular data • Selecting subsets of map features from geo processing • Finding map features • Use data sorting records and labeling features to produce information • Key elements of a map • Composing a map Module 10: Data interpretation and report writing • Different research outputs • Writing different research outputs from analysed data (case studies, success stories, policy briefs, evidence briefs, journal articles e.t.c) TRAINING CUSTOMIZATION This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: training@fineresultsresearch.org REQUIREMENTS Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops. TRAINING FEE The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits. ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295) Or Email: training@fineresultsresearch.org PAYMENT Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org CANCELLATION POLICY • All requests for cancellations must be received in writing. • Changes will become effective on the date of written confirmation being received. Visit our website for more details VIEW RELATED COURSES • Analysis of Complex Sample Survey Data using Stata • Analysis of Qualitative Data using NVivo • Analysis of Qualitative Data using QDA Miner • Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS • Data Collection and Processing using CSPro • Discrete Choice modeling through theory and practice • Effective Communication of Research Findings with Users of Knowledge for Impact • Effective Data Collection, Management and Visualization • Epidemiology and Bio-statistics using Stata • Information and Documentation Compliance THE MOST POPULAR COURSES GIS using ArcGIS Desktop Effective Project Proposal and Report Writing Agriculture, Innovation and Technology for Sustainable Development Scientific Writing: Preparing a Manuscript for Publication in International Journals Effective B2B & Trade Marketing Strategies Accounting & Finance for Non-Financial Professionals using QuickBooks Post-Disaster Economic Recovery and Sustainable Livelihood Restoration Collection and management of Research data using ODK and Kobo Toolbox Developing and Leading High Performing Teams Payment should be transferred to FineResults Research Services account through bank on or before C.O.B. 13th March 2021 Send proof of payment to training@fineresultsresearch.org View our Research Institute courses For any registration of 3 or more participants; we offer a discount of up to 10%. Click here now to Register. For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295
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