Data Literacy

About Course

This course introduces learners to the core skills needed to read, interpret, question, analyze, and communicate data in everyday, academic, and workplace settings. It is designed for beginners and non-technical learners who want practical data skills without heavy programming or mathematics.

Data
Types of data
Data collection
Commonly Used Data Collection Tools
Core Components
Creating Kobo toolbox Account
How to share the project
How to Download the Results
How to open a new Google form
Creating a Survey/Questionnaire using Google Form
How to share the form
How to Download the Results
Data Cleaning using Microsoft Excel
Removing unnecessary data
Correcting errors and handling missing values or blank spaces
Handling Outliers
Handling unengaged responses
Formatting the Variable Names/Questions (The first row) in Excel
Formatting the observations (The Participant Responses) in Excel

Course Content

Introduction to Data & Data collection tools

Data

00:00
Types of data

00:00
Data collection
Commonly Used Data Collection Tools

00:00

Kobo toolbox

Google FORMS

Data Cleaning and Formatting

Student Ratings & Reviews

No Review Yet

About Course

What Will You Learn?

Course Content

Introduction to Data & Data collection tools

Data

Types of data

Data collection

Commonly Used Data Collection Tools

Kobo toolbox

Core Components

Creating Kobo toolbox Account

How to share the project

How to Download the Results

Google FORMS

How to open a new Google form

Creating a Survey/Questionnaire using Google Form

How to share the form

How to Download the Results

Data Cleaning and Formatting

Data Cleaning using Microsoft Excel

Removing unnecessary data

Correcting errors and handling missing values or blank spaces

Handling Outliers

Handling unengaged responses

Formatting the Variable Names/Questions (The first row) in Excel

Formatting the observations (The Participant Responses) in Excel

Quick list

Recourses

Supports