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Review 1

Average rating 5.0

Completed 100% of course

It was a great help for non-majors and people who are new to Python. It may be hard to understand at first, but I listened to it repeatedly. The second and third times, I listened to only the parts I didn’t understand, and as I did so, I gradually understood more and more. At first, it sounded like alien language, then Korean but difficult words, but gradually it started to sound like words I knew! I kept listening like that, and a month ago, I participated in a study group, which was even better. If it weren’t for the study group, I would have put off actually coding because I didn’t think I was good enough yet, but because of the study group, when I didn’t understand something, I would look for a lecture on Danjit After Work and listen to it, and type along with the code, and I improved a lot. A new textbook was released in the 9th session, and it was very good. Coding seems to have a different style for each person, but in my case, since I listened to the Danjit After Work lectures, the Sina Gong textbook written by the instructor was very easy to understand and good. I think it’s more effective when the book and the lecture go together. I’m a long-distance commuter and I’m not alone, so I don’t have much time to study, so I’m sorry that I didn’t get a high score, but I’m glad that I passed this time. Thank you.

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Instructor

Congratulations on your acceptance! 🎉 If you started out as a non-major and were new to Python, it must have been really difficult, but I'm glad that you gradually became familiar with the language by listening to the lectures repeatedly and participating in the study group. You must have worked really hard to study while being busy. I'm very proud that your efforts have finally paid off with the happy result of acceptance. I will continue to support you in the future. Thank you! 🙏

[After Work Side Projects] Big Data Analytics Engineer Practical Exam (Task Types 1, 2, 3) thumbnail
roadmap

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105 lectures

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4,842 students

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[After Work Side Projects] Big Data Analytics Engineer Practical Exam (Task Types 1, 2, 3) thumbnail
roadmap

·

105 lectures

·

4,842 students