I think this is a lecture that does a great job of explaining by appropriately combining statistical analysis skills with the utilization methods of AI and PYTHON.

Vibe Coding is not included It helps with practical data analysis and shows how to get assistance with analysis through GPT, but nothing particularly special The curriculum and lectures were below expectations

I'm still a beginner... but I feel like I've grasped the conceptual understanding of data analytics to some extent. Thank you.

Actually, I am also doing a master's degree in data analysis at a UK university online. I am embarrassed to say that I studied and learned the program with a lot of help from chat gpt. It was good to know whether the method I was using was right, whether there are better libraries, how to study better while using them, and how much I understand through practical tips. Thank you! I have a personal question. The way I used the output results was actually cumbersome, but I used to take screenshots of each result window and crop them. If I were to use it in a Word report or on github, kaggle, or a personal blog, what would be the best way to extract it? If you could provide additional information on the method of extracting the results you usually use, it would be even more helpful for practical use! Thank you for the quality lecture~

Beneficial