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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

It is a deep introduction, really nice to be used as a reference in DS projects
The explanations in the videos are very superficial compared to the level you need to demonstrate in the assignments. It's basically self-learning with very negligible amount of guidance.
Great for entry level
The biggest reason for taking the course is it pulls together a few interesting datasets and has a data manipulation project based on the dataset. The course also pulls together some interesting papers on ethical issues that could confront data scientists, traps data scientists fall into (p-hacking). However, the material on dataframes covered is too sparse. User should learn dataframes from a pandas book / web sources.
Really Good
Nice course
W o u l d b e 5 / 5 I f I t w a s n ' t s o h a r d t o m a k e s e n s e o f t h e a s s i g n m e n t q u e s t i o n s s o m e t i m e s ! O t h e r w i s e g r e a t introduction to data processing in Python, looking forward to the next course in the specialization.
Not an easy course - assignments take a significant amount of time & independent research, which is a good thing imo
Requires a lot of independent learning and additional research to really be able to complete the assignments, but if you're willing to put in the work, it really accelerates your knowledge of the language and data manipulation
The course materials is very good but very fast. The assignments (especially the last one) could be a bit better explained

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