What’s the learning experience like with Edureka’s BI and Data Science courses?

I’m considering enrolling in Edureka’s courses on Business Intelligence, Data Science, and Analysis but would really appreciate some feedback before committing. How is the course content, delivery quality, and real-world applicability? Especially interested in hearing from people who have actually taken them.

Hi @dharapatel.130 I have taken Edureka’s Data Science course early in my learning journey. The platform shines for structured learning—you get recorded sessions, live classes, and assignments. The instructors explained concepts clearly, and the use of Jupyter notebooks was a big plus.

That said, if you’re past the beginner stage or looking for deep academic-style coverage (like what you’d find on Coursera or edX), Edureka might feel a bit too high-level. But for getting job-ready and picking up tools like Power BI, Tableau, or Python basics—it’s quite solid.

I used Edureka while switching from a QA background to data analysis. The flexibility helped—classes on weekends, downloadable content, and a responsive support team. Their BI course gave me practical exposure to tools like Power BI and SQL, which helped me land interviews.

However, I found the project work limited in complexity. I had to supplement with side projects and datasets from Kaggle to really practice.

If you’re looking to apply these skills professionally (especially in testing dashboards or workflows), you can even use LambdaTest to validate how data-driven visualizations behave across different browsers or resolutions.

@dharapatel.130 From my experience, Edureka is best for learners who prefer a classroom-like environment without enrolling in a full-time program.

The Data Science course offered a broad overview—from statistics to ML basics—and the BI training touched on ETL pipelines, which was useful.

Just know it’s not as self-paced as some platforms. The deadlines and live sessions work well if you need external motivation. I paired it with hands-on practice using open-source datasets and some browser-based tools for QA.

For instance, if you’re validating web-based dashboards or data entry portals, integrating LambdaTest into your testing workflow helps ensure your BI interfaces are robust across browsers.