[Renewed] First-time Python Data Analysis (Easy! Learn the entire process of preprocessing, pandas, and visualization) [Data Analysis/Science Part1]

This course was structured around practical exercises covering data preprocessing and EDA using Pandas, and visualization through Plotly, which was a great help in learning the flow and feel of data analysis. By applying the various features of Pandas to actual datasets, I became familiar with the analysis process, and through Plotly, I could create intuitive visualization results, allowing me to develop my data interpretation skills as well. As someone learning data analysis for the first time, the practical-oriented structure was particularly useful, and because the instructor's explanations were kind, it was a course that even non-majors could follow without difficulty.

Overall, it was very helpful for me to learn, and I could see the instructor's love for teaching. I hope that in the future, as you mentioned in the middle of the lecture, you will provide easy-to-understand lectures on a wide range of topics.

It's really well made. I can feel that a lot of thought went into it. It's easy and well organized. It's good for studying. It's even better because the basics are solid. I'm looking forward to other lectures.

I've studied Pandas and visualization a few times before, but because I haven't used them much, I would forget everything soon after learning it. However, after studying with the materials prepared by the instructor this time, I feel like I understand it 확실히 (clearly) now! Of course, there were some new syntaxes and things that were confusing, but the materials are so well organized that I can remember them if I look at them again, so I think I'll be able to use them very usefully in the future. Thank you!

The materials in the provided Jupyter notebook are neat and easy to read, and the practice of graphing the trend of confirmed COVID-19 cases by country is good. If you ask a question you don't know, they will answer quickly and sincerely, and there are no points to deduct. 5 out of 5. The explanations are also good and not difficult.

Thank you very much. It was a great help. I am very satisfied with the lecture content and lecture materials. I am also looking forward to the machine learning lecture. ^_^

As a coding beginner, I started with nothing, starting with the Python bootcamp lecture, then the crawling lecture, and now I have finished the Python data analysis lecture. Although these lectures may seem like separate lectures on the outside, they have a single flow and purpose as they always emphasize during the lectures, and most importantly, they explain in detail and in an easy-to-understand manner from the perspective of a non-major, so I was able to take the classes comfortably. I am currently working in the real estate business, and after taking these lectures, I gained the ability to process and utilize data provided by sites such as Naver Real Estate and public data portals as I want. It may seem lacking to experts, but I think that having this ability as a real estate business owner who is not an IT expert is a really great weapon. Also, there is a huge difference between passively looking at processed data provided by others and looking at data that you have processed yourself. So, if you are just starting out like me, don't worry too much and follow Janjaemi Coding's lectures one by one, you will find yourself growing before you know it. And if there's one thing I wish for, it would be great if there was a lecture that completed a project from start to finish (even if the lecture length is relatively short) based on the lectures I've taken so far (Python Bootcamp, Database, Crawling, Data Analysis, etc.). I'm now going to listen to SQL and NOSQL that I missed in the middle!!!! (My goal is to take all of Janjaemi Coding's lectures this yearㅎㅎ) Thank you for the great lecture and I will continue to trust and follow you in the future.

I am a student who aims for graduate school and research in deep learning, machine learning, and mechatronics. So I took Python lectures from other instructors to build up my basics, and I took this lecture to learn the data processing and analysis process. At first, unlike other instructors, he didn't write the source code while filming videos, but prepared class materials and lectured on the content in detail. Most of the lectures I took were from the former, so it took me a while to get used to the latter. However, the materials related to the class content were really solid. I really liked this part. Also, as the class progressed, what impressed me the most was that even though the class was just continuing, it was repetitive learning. For me, the most difficult thing about listening to lectures is repetitive learning. In the case of academies, they make students repetitive learning through assignments, but on average, many students, including me, find repetitive learning difficult or boring through lectures. However, this lecture was a very helpful lecture for me because it allowed me to learn new content while repetitive learning. Of course, I plan to take other classes again and challenge myself with repeated learning, lol... When I take this class, I first watch the video all at once. If there is a part that I don't understand, I watch it over and over again. Then, I put down the video, put the materials that the teacher gave me on one monitor window, and at first, I wrote down the source code as I remembered it, and when I couldn't remember it/when I thought I had finished writing the source code, I checked the materials. In addition, if you post a question on the Q&A board or the video, you will receive a reply in a day or less at the earliest. This is where you can feel the teacher's enthusiasm. Also, one of the things I felt when I took the Python class was that when you ask a question, they give you a link to the relevant content. And I saw some people who lectured by saying that it would be helpful if you referred to it. Personally, I didn't like it, but the instructor of that class put a lot of effort into leaving comments. And, I plan to take a class on MongoDB for the next class! The class was really good ^_^!