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

Using chat gpt, it is packed with only the essential content for data analysis practice! I liked that it is taught so that field workers can apply it right away rather than focusing on theoretical content! It does not cover basic theory or advanced courses!

Hello, Professor~! Thank you for the lecture. Section 0. Intro Lecture Why is this lecture special? Can you tell me the source of the chart that appears at 4:20 in the lecture that says domain experts who learn statistical programming algorithms have better problem-solving skills? I would like to use the chart to convince myself that I should be selected as a candidate for the AI graduate school course through the company's academic system. Please confirm. Professor! Thank you for the great lecture!!

I took this course to write reports based on data. Highly recommended: If you are a beginner in Python and want to work in the field of data analysis It was very helpful because it started with basic content and covered things that can be applied to actual work. Thank you very much for the detailed and kind explanation~~

It was very helpful to learn the basic concepts of data analysis. I enjoyed the explanations on inference tech and prediction tech the most~ The lectures I listened to were very helpful for my personal side project.

I have always had difficulty with data analysis because I have no knowledge of coding or statistics, but Professor Young-guk's lecture covers the entire process from the introduction to data analysis to its use in a very easy-to-understand manner that can be applied directly to the workplace, so I think it will be very helpful. After completing the lecture, I will share a review of an actual application case!