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      Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS in Nairobi

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      November 30, 2020

      Monday   8:30 AM - 4:30 PM

      westlands nairobi
      Nairobi, Nairobi Municipality

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      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
      NGO and civil society staffs
      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 or Email:

      Cost: The course fee is KES 120,000.00 or USD 1600.00. 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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