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.
Learn about numerical vs categorical data, discrete vs continuous data, and how to identify different data types for proper analysis.
Explore different methods of data collection including surveys, observations, experiments, and using existing records effectively.
Master the use of tables and tally charts to organize data systematically, making it easier to read, analyze, and interpret.
Learn to create and interpret bar graphs, pie charts, and line graphs to visually represent different types of data effectively.
Calculate and interpret mean, median, and mode to understand the center or typical values in a data set.
Develop skills to read values from tables and graphs, compare data, identify trends, and draw meaningful conclusions.
See how data handling is used in shopping, budgeting, health information, transport, and everyday decision-making.
Learn how to spot unfair scales, biased samples, and graphs that give the wrong impression.
Begin with understanding different data types before moving to more complex topics like graph interpretation.
Create your own data sets from real-life situations and practice organizing and representing them.
Look for data handling applications in news articles, advertisements, and everyday decision-making.
Complete the topics in order for the best learning experience
Tip: Complete at least 2 topics per week to finish in one month
Use this Data Handling section to practise collecting, organising, representing, and interpreting information. Focus on reading the context first, then choosing the correct table, graph, average, or comparison to answer the question.
A useful path from this page is to begin with Types of Data, continue with Collecting Data, and then test your understanding with Organising Data. Do not rush through the links; spend time on the examples and make sure you can explain the main idea without looking at the notes.
Use this page to build real-life calculations, tables, graphs, maps, finance, measurement, and interpretation. Write down key terms, formulas, diagrams, or steps that appear often so that revision becomes active instead of just rereading.
Estimate before calculating, show units, and explain what your answer means in the situation given. After each lesson, close the page and try a short self-test from memory before checking your notes again.
Start with the context, identify the information given, choose the operation, and check whether the answer is reasonable. If a topic feels too difficult, return to the previous link, revise the basics, and then try the examples again before using past papers.
