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Avoiding Data Science Pitfalls に戻る

Coursera Project Network による Avoiding Data Science Pitfalls の受講者のレビューおよびフィードバック


In this 2-hour long project-based course, you will learn some important statistical concepts with examples & visuals, concepts that are most commonly mistaken in data analysis and how to ensure you don’t fall for them....

Avoiding Data Science Pitfalls: 1 - 2 / 2 レビュー

by Ran B R


Some useful discussion and a bit of example use of seaborn, but overall explained little. Descriptions of pitfalls were lacking, mostly either: 1) not well-motivated: "don't make these specific assumption about predicting growth or quality of life in cities" or 2) lacking solution: "if you know two things are not causally related, don't trust correlation" Much of the video showed (slow) typing of code without explaining what it did or why

by Ana I


The material didn't work, the workspace was stuck after 3 seconds of video :(