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      Effective approaches to capacity development for better and timely data collection analysis and visualization using ODK SPSS Stata R and QGIS in Nairobi

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      October 12, 2020

      Monday   8:30 AM - 4:30 PM

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      Effective approaches to capacity development for better and timely data collection analysis and visualization using ODK SPSS Stata R and QGIS


      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.


      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)



      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/+254759285295 or Email:

      Cost: Payment required - The course fee is USD 1,600, KES 120,000. 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.

      Categories: Conferences & Tradeshows | Education

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.

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