Professional Data Analytics Course
Unlock powerful insights from data and become a job-ready data analyst. This course covers everything from data manipulation and visualization to database querying, dashboard building, and real-time analytics with industry-standard tools.
- Python for Data Science:Learn the basics of Python programming and data analysis. Cover NumPy, Pandas, Matplotlib, and Seaborn. Work with datasets, perform cleaning, filtering, grouping, merging, and visualize data for deep insights.
- MS SQL Server:Master the language of data querying—SQL. Learn how to write complex queries, joins, nested statements, subqueries, views, indexes, and stored procedures to extract and manage data from relational databases.
- Power BI / Tableau:Get hands-on with powerful BI tools. Learn how to create dashboards, use DAX (for Power BI), build interactive reports, and connect live data sources. Understand visual storytelling and business KPIs.
- Advanced Excel:Go beyond formulas. Learn pivot tables, advanced charts, Power Query, data validation, conditional formatting, VLOOKUP/XLOOKUP, dashboards, macros, and automation using Excel for business intelligence.
- Capstone Projects:Work on real-time projects like Sales Analysis Dashboard, Customer Segmentation, Excel-Based MIS Reports, and Live BI Dashboards. Perfect for interviews, portfolios, and freelance gigs.