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      Effective Data Collection Management And Visualization in Nairobi


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      December 7, 2020

      Monday   8:30 AM - 4:30 PM

      westlands nairobi
      Nairobi, Nairobi Municipality

      Performers:
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      EVENT DETAILS
      Effective Data Collection Management And Visualization

      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 5 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

      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




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      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



      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: +254 732 776 700/+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.

      Cost: The course fee is KES 65,000.00 or USD 800.00. 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.

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