Ratings and Reviews for Introduction to Data Science in Python

Gained a lot of knowledge on using the pandas library in a short time. Introduced interesting topics on different data science topics like Goodhart's law etc.

Excellent course, the teacher gives clear introduction, and the exercise is very useful to train our skill. I have no hesitation to recommend it to my classmates.

Great introductory course on data science in python. However, the final projects diverts significantly from the course material, requiring vast amounts of self-study for someone new to Python. Definitely learned a lot in this course.

The videos are not so comprehensive! but by doing exercises, your coding skills will improve.

Thanks

simply the best intro to data science!

Very well prepared. 4 stars because it only scratches the surface of data wrangling with Pandas. I'd love to see more comprehensive course about Pandas.

Excellent introductory course to Pandas. Four stars because the pace of the videos are too fast and the assignments requires, sometimes, excesive individual learning. Hopefully the info found in the forums is very helpfull.

Very good starter on learning the basics for python data analysis.

Not a bad starter, considering it's a free course, but the lectures were somewhat short. Some things from lectures and tasks were pretty discouraging. For example, on week 4 there is a task that culminates in doing a T-test, but all that the lecturer says about it is "I'm not going to go into detail here, read wikipedia page or take a statistics course to know what the t-test is". Well, it's definitely not a nice thing to say on an introductory course. Same goes to Pearson correlation coefficient - it's in the task, but not explained anywhere on the course. Not all of us have a background in statistics. Tasks are implemented in the form of IPython notebooks (essentially a web page where one can write Python code) and rated by an automated rater, which sometimes gives good clues, but sometimes "result was incorrect" is all you get in response. What I felt was not very convenient is that the rater is asynchronous - you can't run it directly on your current notebook, you have to send your work to be rated using a special button instead. Then after some minutes yo can see the result on a separate page. It works, but slows down the process a bit.