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Reviews 8

Average rating 4.9

Completed 100% of course

I wanted to finish the course and leave a review, but since there are no reviews yet, I think there might be some people who are hesitating whether to take this course or not, so I'll write a few words about the course review. My thoughts are: 1) I came to learn quant, but I'm learning Pandas properly again. What code is efficient, why is it fast, etc. For those who just want to learn Pandas without a topic, it's a very good choice to take this course in the first place, thinking that they're learning quant as a bonus. 2) The lecture style is not at all vague or hesitant. It explains very clearly, and I really like the tone of voice and speed. There's no need to speed it up 1.5x. 3) The lecture content is very informative. As you listen, you can feel that it's very systematic, and that they put a lot of sincerity into the production of the lecture. Conclusion) I'm not interested in stocks, but if you think like this, I think this is a course you can miss. Quant is a bonus, and I think this is a lecture where you can learn Pandas properly. I didn't finish it, but I took 70% of the class and I'm writing down what I felt. I'm looking forward to future lectures on topics like automatic trading or Tensorflow. I think I'll take all of the instructor's lectures.^^

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rightx2
Instructor

I got goosebumps reading the course reviews... You seem to have accurately figured out the things I was thinking about while making the lecture, as well as the intentions and goals of the class. Haha. Just with the content of this course, I can do a lot of things in the future, but I think it will have even more synergy if I add it to the content of the lectures I will make in the future! Thank you!

Data-driven stock quant investment with Python Part 1 thumbnail
rightx2

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69 lectures

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1,767 students

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Data-driven stock quant investment with Python Part 1 thumbnail
rightx2

·

69 lectures

·

1,767 students