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Learner Reviews & Feedback for Avoiding Data Science Pitfalls by Coursera Project Network

About the Course

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 - 1 of 1 Reviews for Avoiding Data Science Pitfalls

By Ran B R

Jun 9, 2021

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