Ratings and Reviews for Introduction to Data Science in Python

Best course to explore data science using python. Challenging course if your basics are not clear.

A very good course for any aspiring data scientist to improve their data wrangling and pre-processing skills using Python.

easy to understand and very nicely defined lectures

This course was very helpful in applied learning of powerful libraries such as pandas.

That's perfect journey! Especially in Assignments!

great. This course is very clear and teach me basic panda. Very useful

autograder is not fun to work with

Nice))

What I like this course: Assignment! Geat assignments. Challenging and learnt a lot. What I do not like this course: instruction videos: way too shallow, and no real examples. I understand pandas and numpy are both very comprehensive libraries and it is impossible to cover every details. However, if the instructor could teach a real case study,(like similar cases in assignments), learners could have better understading going into the assignments. Finally, teacing staff are great, very helpful. I learned a lot from this course, not from the instructors, but from assignments and teaching staff.

I liked the assignments, but I would've loved to see the instructor's answers at the end of each one, since in many cases you could work around to get to the answer in a non-pandorable way (or what you might thing was pandorable, but wasn't really). I know being an online course it is very difficult to post the answers because you can't control where the answers may end up and how people would use them, but seeing some pandorable answers is really what I wanted to learn in this course (understanding the pandorable way to do it). This worked well in the in-video assignments, where you get to an answer and then you were shown the instructor's answer, which sometimes surprised you.