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Effective Data Collection Management And Visualization / Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. / Data Collection, Management, Analysis And Mapping Using Odk, Stata And Qgis. (2) (3) (4)

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Effective Data Collection Management And Visualization by FINERESULTS(m): 9:33am On Jan 12
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Courses at our FineResults Research Services training facilities in Nairobi, Kenya or online.
29/01/2024-02/02/2024 Effective Data Collection Methods, Management and Visualization
29/04/2024-03/05/2024 Effective Data Collection Methods, Management and Visualization
29/07/2024-02/08/2024 Effective Data Collection Methods, Management and Visualization
28/10/2024-01/11/2024 Effective Data Collection Methods, Management and Visualization

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 five-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.

5 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

Topics to be Covered
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
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design

Module 3: 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

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 4: 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
• 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 5: Visualizing data
• Understand map layers in GIS
• Composing a GIS layout from GIS layers
• Difference between a map and a layout
• Navigate maps
• 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

Training Fee
In-person USD 1000
Online USD 900
January in-person/online
April in-person/online
July in-person/online
October in-person/online

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: +254 732 776 700 or +254 759 285 295. You can also email us on: training@fineresultsresearch.org

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 is arranged upon request. For reservations contact us through Mobile: +254 732 776 700/+254 759 285 295 or Email: training@fineresultsresearch.org

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.

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