I learned a lot from the beginning to the end, from theory to practice. I took a short-term course in Python data analysis/AI funded by the government, but it wasn't a very good experience, and the project was a failure, so it left a slightly painful memory. So I decided to take an online course where I could learn at my own pace. They opened sections 1 and 2 in preview, so I watched them carefully and paid without hesitation^^ I briefly reviewed the project as follows. 1. Stock price data visualization project: It was good because it was easy to follow. I think I will be able to use the candle chart visualization technique usefully in the future. 2. News keyword visualization project: It was great because I could learn crawling, natural language processing, and visualization in one project. 3. To Do App: I learned for the first time that this could be made with Python. I liked it because it seemed like a slightly different type of project. 4. Time series prediction project: It was good that they reviewed various time series prediction methods. 5. Computer Vision (Rock Paper Scissors) Project: I really liked how it explained the principles of computer vision well. It wasn't too long and the difficulty level was just right. I tried to learn Django several times, but it was too difficult, so I gave up. It's really great that I can easily deploy machine learning apps with Streamlit.