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Review 1
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Average rating 2.0
I was surprised that there were only good reviews. Personally, I didn't like the lecture because I thought the code explanation was lacking and it was ambiguous. What was ambiguous was that even though the lecturer was a Pandas expert, he didn't feel like he was fiddling with the data at all, and just brought in a very simple cheat sheet, and explained it in more detail and applied it like this or like this or how it is actually used a lot, and didn't give any additional explanations on why this code works like this, and just explained the cheat sheet to the extent of a short period of time and finished. There was no additional explanation at all for things that were considered essential. I seriously watched the whole lecture even though I knew the content of the lecture. But from a beginner's perspective, there were parts that made me wonder, "What exactly is that function?? Is it used a lot???" and that was frustrating because it was like that throughout the entire lecture. It's a lecture where they just bring in the code and roughly explain it to that extent.
Hello. I'm sorry that it wasn't of much help since you already knew all the content here. This course is for those who are new to Pandas, and it focuses on learning the functions with two cheat sheets rather than a thick book, so you probably didn't feel like you were touching the data. The reason I created this course is because I recommended cheat sheets to beginners, but I received a lot of feedback saying that they didn't know how to use them. As you said, it mainly focuses on the functional part. The process of analyzing actual data is covered in other courses, so this course doesn't cover it. So you might have felt that there was a lack of information on what is important and what is mainly used. This course is also planning to revise some of the content to match the updated Pandas version, and I will reflect your feedback when revising it.
The Seoul City Corona data analysis has been added to the lecture. We have supplemented the parts that we thought were lacking based on the feedback you left. We will analyze the differences between similar methods and why the method is used by bringing in actual publicly available data. We will continue to update this lecture in the future.
