Data Handling
Learn to collect, organize, analyze, and interpret data to make informed decisions in real-life situations
In this module, learners work from the basics of classifying data to reading graphs and making sensible conclusions. The aim is not only to calculate answers, but also to decide whether the information is clear, fair, and useful in real situations.
Types of Data
Learn about numerical vs categorical data, discrete vs continuous data, and how to identify different data types for proper analysis.
Collecting Data
Explore different methods of data collection including surveys, observations, experiments, and using existing records effectively.
Organising Data
Master the use of tables and tally charts to organize data systematically, making it easier to read, analyze, and interpret.
Representing Data Using Graphs
Learn to create and interpret bar graphs, pie charts, and line graphs to visually represent different types of data effectively.
Measures of Central Tendency
Calculate and interpret mean, median, and mode to understand the center or typical values in a data set.
Interpreting Data
Develop skills to read values from tables and graphs, compare data, identify trends, and draw meaningful conclusions.
Real-Life Applications
See how data handling is used in shopping, budgeting, health information, transport, and everyday decision-making.
Misleading Data and Graphs
Learn how to spot unfair scales, biased samples, and graphs that give the wrong impression.
How to Study Data Handling Effectively
Start with Basics
Begin with understanding different data types before moving to more complex topics like graph interpretation.
Practice Regularly
Create your own data sets from real-life situations and practice organizing and representing them.
Connect to Real Life
Look for data handling applications in news articles, advertisements, and everyday decision-making.
Your Learning Journey
Complete the topics in order for the best learning experience
Tip: Complete at least 2 topics per week to finish in one month
