Вернуться к Avoiding Data Science Pitfalls
Отзывы учащихся о курсе Avoiding Data Science Pitfalls от партнера Coursera Project Network
О курсе
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.
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1–2 из 2 отзывов о курсе Avoiding Data Science Pitfalls
автор: Ran B R
•9 июня 2021 г.
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
автор: Ana I
•28 нояб. 2021 г.
The material didn't work, the workspace was stuck after 3 seconds of video :(
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