Basic Python for Data Analysis Beginners with ChatGPT [2025]

A literature major with absolutely no coding knowledge was able to complete this course with ease. I had tried other Python courses before and quickly gave up, but this course was so fun that I actually finished it. I really liked how well the course provided direction and focused on the core essentials needed in the current situation. Such a valuable course. I'm looking forward to taking the Pandas course soon. I'm excited. Thank you for the great course!

This lecture clearly sets the direction for what to study for proper data analysis. Unlike many textbooks on the market that focus on data types and control statement learning, this lecture is tailored for the purpose of data analysis. It tells you what is needed to learn the Pandas library and how it can be used in the future, which is great because it prevents you from getting exhausted by unnecessary studying and giving up. I am already enjoying the Pandas textbook so much, so I liked this lecture even more. The lecture content is excellent, and I like the way the content is presented. The code, explanations, and materials are displayed in a large format, making it easy to view, and the practice code and textbook provided make it easy to review. I can't help but wonder how great it would be if a full-fledged Pandas lecture were to come out with the same quality as now, and I'm already excited. I hope the Pandas lecture comes out soon. I'll be waiting.

This is really great. I took another class before this one, but I got tired and gave up because it covered even the minor details from the beginning without a clear focus. This class is really good because it explains the important parts well, starting with the principles, and it trims away the less important parts effectively. For beginners, a 100-page book with easy-to-understand basic concepts is much better than a 1,000-page book that documents everything.

I'm a Python beginner and a hardware development professional who needed pandas for work. After watching some Python basics and pandas lectures on YouTube, I found it too difficult to adapt to real-world applications, so I came to take this course. I'm so grateful that I'm leaving this review. I think many people like me who struggled with adapting to pandas probably couldn't read the "function documentation." I had never seen anyone explain the knowledge needed to read these function documentations, and I was just following examples below the documentation and gradually learning bit by bit. However, after watching this lecture, I gained the knowledge to read documentation and the direction for development, which enabled great confidence and rapid mastery. When I realized that the direction of this lecture was to build confidence in reading this "documentation" and develop the ability to understand and grow, I couldn't help but be moved by Kim Panda's big picture. (As a hardware developer, I also use a language called Verilog, and I'm very grateful that I can now understand this language's documentation as well.) The ipynb format allowed for comfortable hands-on practice, and I'm very grateful for the high density and direction provided within the short lectures. Also, the notes contain really important information, so I think this is a lecture that will be of great help to many people. I want to express my gratitude to Kim Panda, and if there are any working professionals considering whether to take this course, I would strongly recommend it. (And the lecture examples are so good. They resonate so well!)

It was really great that you explained everything in detail so that even people learning Python for the first time could easily understand. And throughout the lecture, you encouraged us by saying things like "You can do it!" and "You are already excellent developers!" which was a huge help in completing the entire course:) Thanks to you, I listened to the lectures while encouraging myself, saying "I can do it!" It was a really good lecture for building the basics of Python! I plan to take the pandas lecture when it comes out too! Thank you for the great lecture:)

This is exactly the lecture I was looking for. I wanted to learn Python specifically for data analysis, but there were no customized lectures, so I had to start with basic Python syntax and gave up several times because it was so boring. Pandas-only lectures were no different, but finally, a lecture in the style I wanted!

Beyond 100/100, this lecture is so truly appreciated. Felt like content I'd want to keep just for myself. 😊😊 Its clear, impactful content was truly fresh. Of course, I bought the book. So grateful, I'd want to get an autograph. Hwaiting ^^

I've studied Python through numerous basic lectures and books, but this is the first lecture that delivers only the essential content in a concise manner. The explanation of basic concepts is neat, and I was particularly impressed by how the connection with data analysis naturally motivated learning. You kept it interesting, so I was able to complete the course without giving up, and there were so many practical examples that I can apply directly to real data analysis projects, so I feel that my skills have definitely improved. I plan to review the material with the Pandas book that you wrote. It's a really well-made lecture, and I highly recommend it! Thank you for the great lecture! :)