Data Analysis with Polars and Python (Udemy.com)

Three major issues with all his courses. He treats every course as learning A-Z alphabets once again, that means he digs into each method and property at a time. These kind of teaching methods do not work in 2026 where you can simply ask ChatGPT/Claude or google search about a method/property. Courses do not tell a story, a better more interactive course would be to take a dataset at a time and then start working on it, do exploratory data analysis, use the methods, functions, properties on the same dataset. He remain MIA and questions are unanswered.

An exceptional course! It is comprehensive and explained in great detail. In fact, I haven't seen another course with such an extensive duration. Truly excellent.

Great course, clear explanations, no fluff, straight to the point. Engaging presentation and course material that fosters experimentation and learning on your own as well.

Finally, I will not be lost with Pandas. Migrating from R to Python data analysis is a big battle. It is not anymore. Perhaps many suggestions would come for the course to improve. My suggestion is that in several videos, we have had short datasets created manually to showcase the usage. It would be great if we could have a larger dataset right after the intro portion to see it in the context of datasets learners and practitioners might run to. Looking forward to the future improvement of the course. If you could create a medium or advanced level of the course with large datasets, it would be great.

Excellent course and even better teacher. Thanks for another wonderful course!

Thank you, Boris, for yet another wonderful course. This is indeed one of the first comprehensive courses out there covering the Polars library in 20+ hours. The explanations are clear and practical, and the instructor has a very good teaching style. Even complex topics are broken down into simple steps, which makes it friendly for beginners but still useful for more experienced learners. The included datasets are very helpful to practice and understand how Polars works in real scenarios. I especially liked how the course gives solid exposure to the Polars library, which is still gaining traction in the data field. It helped me build confidence working with the library and understanding its performance advantages. If I could suggest some improvement, I would like to see more advanced examples in the grouping section, especially with more complex aggregations, deeper time series analysis, and also some coverage of plotting, which was missing from the course. Overall, it is a very good and practical course, and I would definitely recommend it to anyone who wants to learn Polars in a structured and clear way.

Excellent course! Very clearly explained.

As a Python newbie, I found Boris's crash course on Python super helpful before diving into the core of the Polars course. The videos are perfectly paced and excellent for a junior programmer, with plenty of repetition to enforce key concepts. Thank you for an awesome course, Boris!