Ratings and Reviews for Introduction to Data Science in Python

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.

good

The course is fantastic. The only thing I want is that the discussion forum could be more organized, it will help students and instructors as well.

suitable code for better understanding the concept of data science

Introduces the concepts and gives you the tools to learn more and gives you exercises that have you apply your learning. By the end I felt I really had a grasp of pandas and a good idea of where I would look further to grow my understanding of Data Science and the tools available in Python.

Very Informative practical sessions. staff is also quick approchable to the queries raised in solving practical assignments. Thanks a lot for upgrading my knowlege!!!

The course contents are well structured but the video lectures are not enough to master the assignments. More detailed explanations could have been included, since its really difficult for a person who is new to PANDAS. The assignments were challenging. Feed back for the assignments submitted were not found so useful. Although, the course contents provide enough space for learning.

good teachers and background