Module 1: Python for Data Analysis
NumPy, Pandas, data cleaning, EDA, visualisation with Matplotlib & Seaborn. 3 weeks.
Module 2: SQL & Databases
MySQL, PostgreSQL, complex queries, joins, window functions, and stored procedures. 2 weeks.
Module 3: Excel & Google Sheets
Advanced Excel, pivot tables, Power Query, and data modelling for business use cases. 1 week.
Module 4: Power BI & Tableau
Dashboard creation, interactive reports, DAX formulas, data connections. 3 weeks.
Module 5: Statistics & Probability
Descriptive stats, hypothesis testing, regression analysis, and A/B testing. 2 weeks.
Module 6: Machine Learning Basics
Supervised/unsupervised learning, scikit-learn, model evaluation, and deployment. 3 weeks.
Module 7: Real Projects
5 industry-specific capstone projects across e-commerce, healthcare, finance, and more. 4 weeks.
Module 8: Career Prep
Resume building, LinkedIn optimisation, mock interviews, and placement drives. Ongoing.