How To use various Software For Better and Timely Data Collection, Analysis and Visualisation

Some of the data that is 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.

FineResults Research Services would like to invite you to take part in our upcoming workshops on Research at our FineResults Research Services training facilities in Nairobi, Kenya or online.

BETTER AND TIMELY DATA COLLECTION ANALYSIS AND VISUALIZATION USING ODK SPSS STATA R AND QGIS

Introduction
Evidence-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 are of significance. Following the changing data environment from the use of paper in capturing data to the use of digital innovation, there is a need to train actors involved in data collection to help them adapt to the upcoming innovations and technologies.

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 the 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


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 geoprocessing
• Finding map features
• Use data sorting records and labelling 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)
TRAINING FEE
Cost:
In-person USD 1600


PAYMENT
Payment should be transferred to FineResults Research Limited bank before the commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

Date: 16 May 2022 to 27 May 2022
Time: 08:00 - 16:00
Venue: FineResults Research Services Training Center, Nairobi
Cost: USD 1600 for In-person Training

Date: 18 July 2022 to 29 July 2022
Time: 08:00 - 16:00
Venue: FineResults Research Services Training Center, Nairobi
Cost: USD 1600 for In-person Training

Date: 19 September 2022 to 30 September 2022
Time: 08:00 - 16:00
Venue: FineResults Research Services Training Center, Nairobi
Cost: USD 1600 for In-person Training or USD 1440 via Online Delivery

Contact: Edith Wairimu
Company name: FineResults Research Services Training Center
Telephone number: +254 759 285 295
Email address gro.hcraeserstluserenif@gniniart

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