This module introduces learners to the fundamentals of data analytics and its importance in today’s data-driven world. Students will understand different types of analytics, the data analytics lifecycle, and the role of a Data Analyst in solving business problems.

This module builds a strong foundation in statistics required for data analysis. Learners will understand how statistical concepts help in interpreting data, identifying patterns, and making accurate decisions.

In this module, students learn how to use Excel as a powerful data analysis tool. The focus is on data cleaning, analysis, reporting, and dashboard creation using real-world datasets.

This module teaches students how to work with databases using SQL. Learners will extract, filter, and analyze data from relational databases, which is a core skill for any Data Analyst.

This module introduces Python programming for data analysis. Students will use Python libraries to clean, transform, and analyze data efficiently, making analytics faster and more scalable.

This module focuses on presenting data insights visually. Students learn how to create meaningful charts, reports, and dashboards using modern visualization tools.

This module bridges the gap between data and business decisions. Learners will understand KPIs, business metrics, and how analytics supports strategic planning

This hands-on module allows students to apply all concepts through real-time analytics projects. Learners will work on complete end-to-end projects similar to industry use cases.