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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,515 Ratings from Coursera

Reviews

Although I had some background with Python and Pandas, this course brought new insights in both. With practical examples, it reinforces the conceptual understanding about working with data. I highly recommend this course even if you are already familiar with Pandas
This is a fantastic introductory data science course on Python! I was wondered by the course structure, in-browser code editing and submitting. The first course which granted me an understanding of data cleansing, pandas and python for data science.
This is a *very* good Python Pandas course that's part of a data science specialization that I wish existed 3-4 years ago when I first started using Pandas. As much as I like Wes McKinney's book "Python for Data Analysis", having an e-learning format mixing video lectures and hands-on assignments is a definite plus. I've decided to take this class out of curiosity (and in order to get ideas about a class I'm about to teach), and even if I consider myself as an experienced pandas user (top5% on stackoverflow for [pandas]). I think it's pretty involved if you're new to pandas and covers pretty much every key concept of pandas you should (must?) be aware of. The assignments can certainly look very challenging to the newcomer, and they do a great job of looking like an actual project: messy data, multiple sources, etc. I dearly recommend - and I have already started to personally recommend it - this course for anyone who's interested in learning more about data wrangling in pandas! Thanks for putting this together!
The lectures and explanations need more clarity and better instruction quality. The assignment questions were often nebulous. This resulted in lots of time wasted with the grader. The discussion forums were the best part of this class. I'd encourage the course instructors to take a look at the University of Washington's Machine Learning class. Stylistically, pedagogically and content-wise - that's a much, much better Data Science class.
Terrible course. Assignments are extremely buggy and often touches on things not even explained in the lectures. Mentors are not active. Explanations are sketchy and not well paced. Do this course only for the examples in the Jupyter notebook.
Best Python Pandas 101 course ever. Very recommend
I really like this course, it is a good kick off to learn and practice Pandas. The assignments are more difficult than the avg assignment in coursera courses which I think made this course more productive.
It is a great course. especially on the excellent assignments.
This course was much harder than anticipated given it was also my first introduction to Python. Knowing Python coming into this course will make it a lot more manageable. Overall it's an excellent course which touches upon a LOT of items. Given more time on each item, this course could span 10 weeks easily. I now have an understanding of Python basics along with Pandas and a dash of numpy.
Lessons were ok but the assignments were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing.

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