Thank you for the great lecture.

I completed the course today. I think this course would be great for data practitioners who are just about to move from beginner to intermediate level. However, I would like to leave a few drawbacks as a review. First, since the materials are older, there are some Python syntaxes that are no longer in use. In particular, I encountered errors when calling FinanceDataReader, perhaps due to changes in its data structure, so I had to download CSV files to follow along. Also, it was lacking in terms of how to clean data more effectively. Personally, I wish there had been more exercises on handling missing values, data transformation, and especially groupby, melt, and pivot_table. Additionally, the instructor spoke so fast that I had to keep pausing the video. It felt like the speaking was rushed, and the final lectures felt a bit lacking in sincerity. However, the instructor has a great sense for choosing data-related topics. I see there are several other courses here on Inflearn, and I would like to take more of them. Lastly, I want to say thank you for your hard work.

Overall, this is a lecture that gives you the confidence that you can do it once you've learned everything. For your information, in the case of the last part regarding cufflinks, there hasn't been an update for about 6 to 8 years, so there will be compatibility issues between NumPy/Python and the versions used by current or future students. If that's the case, you should run it by setting Python to around version 3.10 from the start. Otherwise, you might need to create a separate virtual environment and downgrade Python and NumPy there. If you don't want to deal with that, I think it's fine to skip the cufflinks section. The overall quality of the lecture is solid, and it's well worth the money. I would highly recommend it to many people :)

This is such an informative lecture. Thank you.

I love it so much ^^