What you'll learn

This course provides hands-on training in data analytics, statistical methods, SQL querying, Python programming, and Power BI visualization to build strong analytical and reporting skills aligned with industry needs.Learners will gain job-ready skills for data analyst, business intelligence, and data science roles through practical tools and projects matching current market demands.

  • This unit introduces the fundamental concepts of data analytics, its lifecycle, and its applications in real-world domains. Learners will understand various types of data, sources, and data formats, along with the significance of descriptive statistics for data summarization.
  • This unit provides hands-on exposure to Python programming for data manipulation and exploration. Students learn to use libraries like NumPy and Pandas for data analysis and preparation.
  • Students will gain knowledge of relational databases, data models, and SQL commands for efficient data extraction and analysis. The focus is on writing queries for data selection, aggregation, and manipulation
  • This unit focuses on applying statistical techniques to analyze and interpret datasets. Students learn key concepts of correlation, regression, and probability for data-driven decision-making.
  • Students will learn how to create dynamic and interactive dashboards in Power BI. The unit emphasizes data transformation, modeling, and visualization best practices for effective storytelling.
  • This final unit integrates concepts from Python, SQL, and Power BI to develop a mini-project. Learners demonstrate end-to-end analytics workflow — from data extraction to visualization.

Geetika Chatley
Assistant Professor

https://www.linkedin.com/in/geetika-chatley-60b2a9199/