(In a good way) It teaches statistical methodology very easily and repeatedly through examples to the point of being boring, and the practice file structure is also very informative. I only learned statistics theoretically and only did analysis practice, so I forgot a lot of the time after studying. For example, when I looked at the concept, I understood it roughly, but I was in a similar state where I didn't know the exact meaning, interpretation, and application well. However, this lecture is well organized step by step, as if I could see the forest at a glance. The practice materials are also very specific and realistic, so I have experienced it at least several times in practice. It is not a lecture that simply deals with tools for analysis such as Python, but a lecture that emphasizes how to apply the theory intuitively and well to practice, so even if you don't have shallow development knowledge, you can learn about standard data analysis based on statistics. However, since the expectations and data level of each company or organization are different, you may not be given the opportunity to apply much of what you learn here in practice. (As many companies often make decisions based on simple descriptive statistics or data extraction results) I think this lecture is good to look back at every time, review, and check the basics. If you are an analyst or a planner, this is a must-listen lecture. I hope this lecture doesn't get taken down again later. I enjoyed it. Thank you.