Better And Timely Data Collection Analysis And Visualization Using ODK SPSS Stata R And QGIS

3 months ago Posted By : User Ref No: WURUR79715 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 16-08-2021 - 27-08-2021
Better And Timely Data Collection Analysis And Visualization Using ODK SPSS Stata R And QGIS, Nairobi, Kenya
Training or Development Class Title
Better And Timely Data Collection Analysis And Visualization Using ODK SPSS Stata R And QGIS
Event Type
Training or Development Class
Training or Development Class Date
16-08-2021 to 27-08-2021
Last Date for Applying
16-08-2021
Location
Nairobi, Kenya
Organization Name / Organize By
Fine Results Research
Presented By
Training Coordinator
Organizing/Related Departments
Training
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Business Development

Social Sciences

Administration/Management

Location
Nairobi, Kenya

Course Title: Better and Timely Data Collection, Analysis and Visualization using ODK, SPSS/Stata/R and QGIS

Duration: 10 Days

Location: Fahari Palace Apartments, along Church Road, Nairobi Kenya

Cost: $ 1,600, Ksh 120,000

 

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)

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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 Email: [email protected]

Registration Fees
Available
Registration Fees Details
$ 1,600, Ksh 120,000
Registration Ways
Email
Phone
Website
Address/Venue
  Fahari Palace Apartments, along Church Road, Nairobi Kenya 
Landmark
Fahari Palace Apartments
Official Email ID
Contact
Monicah

Fahari Palace Apartments, along Church Road, Nairobi Kenya

[email protected]

   +254 732 776 700