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Reviews 9

Average rating 5.0

Completed 93% of course

This is a really good lecture. I previously took a crawling lecture from Janjaemi Coding on another site, and I was satisfied with the systematic and satisfying way he explained things, so I also took a data analysis lecture from Inflearn this time. The theory and practice are appropriately organized from data preprocessing, visualization, and analysis. I was more satisfied because the theory was explained first and then the practice process was detailed. For example, the practice was based on the number of confirmed COVID-19 cases, and since it was the data I was most interested in recently, I was able to study more interestingly. In addition, the data analysis practice using e-commerce data was also good. The Jupyter notebook lecture note file provided is also well organized, so it is good for reviewing on your own after attending the lecture. This is a lecture I would like to recommend.

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funcoding
Instructor

Thank you so much for leaving such a great review. It really helps me. I tend to be nervous every time I give a lecture... I'm so glad it was helpful. Thank you.

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

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58 lectures

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4,185 students

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

·

58 lectures

·

4,185 students