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Fundamentals of Data Analytics for Social Impact Programs
Module 1: Introduction
Course overview (2:25)
Course orientation
What is data analytics (1:52)
Types of data analytics (3:26)
Data analytics processes (3:21)
Summary
Quiz
Module 2: Developing mobile data collection tools using Kobo Toolbox
Introduction to mobile data collection (2:35)
Getting started with KoBo Toolbox (5:30)
Creating a project and adding questions (3:40)
Grouping questions (5:16)
Rosters and question referencing (5:54)
Calculated fields (2:34)
Validation logic (5:41)
Skip logic (4:37)
GPS (1:42)
Deploying the form on mobile devices (4:31)
Data entry and uploading (5:06)
Accessing and downloading the data (2:40)
Summary
Quiz
Course review
Module 3: Data cleaning using Excel
Introduction to data cleaning (5:34)
Data cleaning in Excel (8:50)
Summary
Quiz
Module 4: Data visualization and analysis using Excel
Introduction to Excel for Data Analysis and Visualization (2:17)
Data management in Excel using tables (5:01)
Data Analysis using pivot tables (6:32)
Data visualization using pivot charts (4:32)
Summary
Quiz
Module 5: Data Analysis using SPSS
Introduction to SPSS for data analysis (1:07)
Importing data and editing variables (10:14)
Univariate analysis for categorical variables (3:30)
Univariate analysis for continuous variables (7:46)
Exploring relationships between scale and categorical variables (4:01)
Exploring relationships between 2 categorical variables (5:06)
Exploring relationships between 2 continuous variables (3:56)
Summary
Quiz
More learning resources
Capstone Project
Introduction
Part A: Developing a mobile data collection form using KoBo Toolbox (0:33)
Part B: Data cleaning using Excel
Part A and B Quiz
Part C: Data analysis in Excel
Part C Quiz
Part D: Data Analysis in SPSS
Part D Quiz
Part A: Developing a mobile data collection form using KoBo Toolbox
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