Introduction to Data Analytics

In this introductory module, learners will develop a foundational understanding of data analysis — the process of collecting, cleaning, interpreting, and presenting data to uncover meaningful insights. The module begins by defining what data analysis is and explaining its critical role across industries such as marketing, finance, and healthcare.

Students will then explore the key roles in the data ecosystem, distinguishing between data analysts, data scientists, and data engineers, and learning how these professionals collaborate to transform raw data into actionable insights.

The module also provides a clear overview of the data workflow, covering each stage: data collection, data cleaning, analysis, and reporting. Learners will be introduced to essential tools like Google Sheets and Microsoft Excel, which form the foundation of most analytical work.

To reinforce understanding, a hands-on project guides students through analyzing a simple dataset—such as sales transactions or student scores—to apply their skills in cleaning data, calculating key metrics, and visualizing results.

By the end of this module, learners will appreciate the importance of data analysis, understand its practical applications, and be ready to progress toward more advanced analytical techniques in subsequent modules.