This course completely changed how I look at data. Thanks to EDA using Python, I now feel confident cleaning real-world datasets, finding insights with visualizations, and spotting issues I would have missed. The hands-on exercises were so helpful.
At, MEPCO College.,
The course’s structure—DBMS → Statistics → Power BI—helped me build my skills step by step. First I learned how data is organized, then I understood distributions, variability and interpretation, and finally how to visualize and explore data in Power BI. Now I feel confident working with real business data.
At, Loyola College.,
Even though I started with only minimal knowledge, the DBMS + Statistics + Python + ML combo turned out to be powerful. I can now fetch data, analyze, model, and present insights. It feels like a complete skill set.
At, PSR College.,
I liked how every module built on the previous. DBMS → Statistics → Python → ML. For test engineering, this means that I can foresee possible points of failure (data inconsistency, model bias, script errors) and design tests proactively.
Manual Tester