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.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
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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
great course, you should have knowledge of python before starting.
It is an interesting course that shows you part of the extent of the things that you can do with the Pandas library within python. However don't expect to be able to code everything by scratch, instead expect to be able to google the answers for your coding questions and be able to adapt those to your particular coding objectives.
The assignments are the highlight for me. I feel a lot more confident after completing them.
