Ratings and Reviews for Introduction to Data Science in Python

Nice Course I learn so many topics on the introduction to data science in python as in python course covered the all python topics from basic to advance after that NumPy and panda course topics also good. I loved this course. Thanks

I am very satisfied with the course. The assignments encourage you to explore more about the functions in Pandas and help in better practice.

Very good course to start with data science with python. Only thing you need is statistics background knowledge to better understand week-4 contents. But author has provided with reference to a free pdf book for the same.

This is a pretty good course to start immersion in data science. Lectures are very compact and without extra water. Links to books and additional resources are provided. You can get support from teachers in the comments on lectures and assignments. At the same time, the course requires updating in accordance with the latest version of pandas. During the course, I was faced with the need to rewrite my code to satisfy the old version of pandas.

This was a very good and most importantly intense hands on course. I could develop good amount of skills in data analysis even though I was not aware of anything in the field. I recommend it to all who wish to start learning data science from scratch.

Amazing Course : Totally Worth it! Had an Amazing Experience and got to learn a lot of interesting stuff!

Just Talking and no real teaching

I love this course.

the autograder is way too picky and frustrating.

This is an excellent Pandas bootcamp but be prepared that you have to invest more time into the Labs than in other Coursera courses. You should know some Python. I found the Python-Specialization from UMI a good basis. Some prior knowledge on working with data can be helpful. After some introductory videos you have to find your own way for solving the Labs. I found this very realistic. Later nobody will ask you how many Python functions you know by heart but you will get tasks and you have to find a way to solve them with Google, Stackoverflow etc.