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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

Pleasant teacher, nice organized course. But the teacher tells you about 10% information that you face in assignments. Literaly like this: "Ok, fella, I've explained you about 10%, the rest 90% you will find yourself somehow".
This course provides a superficial introduction
This course is wonderful! I think its a good practice for those having some experience with python's pandas and numpy library, to make their a solid foundation.
Great material, presented clearly. I especially appreciate discussions of what techniques are commonly used in real world environments
Overall the course is great for people who want to begin with data science. The skills it incorporate are very useful. The only thing to improve is that we could be given more hints when doing assignments. Sometimes we are not familiar with what can be done with Pandas, so it took a lot of googling to complete the assignment.
Thank you so much !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Requires a lot of self-learning to finish the course. Assignments are exhausting but worth it.
It really gave all the basics and gradually increasing challenges, I think this course is the best place to start for beginners like me.
nice
I loved intro to python with the other teacher, but not this. Staff is helpful, but the homework is completely different from the course. Assignment four has us using extract with expert level to do the job. My correlation was off . I had .17 , but the answer was .15. Found I missing data or one city San francisco instead of having two. For instance, autograder tells me in question 1 of assignment3 that my columns are named incorrect. I see nothing wrong with them after comparing to the assignment . what does formatting have to do with passing anyhow. I could just cut and paste, rename and submit, but I have to wait a day for the results and my submission is already late. I Getting question 1 of assignment3 is required to get the other questions, so I got sort of sick of it. I learned something certainly, but sick of the frustration. I looked forward to my python and Jquery classes. I don't look forward to data science with python.

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