The objective of this course is to equip learners with the ability to collect, clean, and interpret data effectively in order to make informed decisions. It involves understanding different types of data, applying basic statistical techniques, and using tools to identify patterns and trends. Learners also develop critical thinking skills to evaluate data quality and avoid bias, while learning how to present insights clearly through visualization and reports. Ultimately, data analysis helps individuals and organizations turn raw data into meaningful information for problem-solving and strategic planning.

Modules

• Week 12 -Final Project

  19 Mar 2026

• Week 10 -Data Storytelling

  19 Mar 2026

• Week 9 -Data Interpretation Techniques

  19 Mar 2026

• Week 8 - Exploratory Data Analysis

  19 Mar 2026

• Week 6 Data Analysis

  19 Mar 2026

• Week 5 Data Visualization Fundamentals

  19 Mar 2026

• Week 4 Statistical Concepts

  19 Mar 2026

• Week 3 - Data Cleaning and Preparation

  19 Mar 2026

• Week 2 - Data Collection Methods

  19 Mar 2026

• Week 1 - Introduction to Data Analysis

  19 Mar 2026