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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

26,560 ratings

About the Course

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Top reviews


Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.


May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

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5601 - 5625 of 5,824 Reviews for Introduction to Data Science in Python

By Emil K

Jan 5, 2017

Many bugs, lecture content does not cover topics required to complete the assignments, assignment instructions are not written in a clear way.


Oct 7, 2018

The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.

By Adam S

Aug 20, 2018

Videos not very explanatory, ended up being a lot of self-teaching, video seemed too scripted and didn't really explain concepts well

By Chenfeng L

Nov 13, 2016

Good course materials and the assignment itself is pretty good, but the grader is buggy, not informative and wasted a lot of my time.

By Manya A

Jan 31, 2017

Too much focus on databases and database operations, rather than data science.

The assignments are too difficult for a 4 week course.


Jul 28, 2019

Assignments were not clearly documented, causing lot of time spent in understanding the requirements than implementing a solution.

By Dilpreet S N

Apr 2, 2020

The course is very fast-paced and explanations are not clear neither detailed, it looks like instructors are just doing formality

By Sarah S

Mar 30, 2021

This is a poorly taught course which tells you to go away and teach yourself data science rather than teaching you data science.

By Alaa E

Jan 8, 2023

The assignments are very difficult and when you submit you do not get a proper review where are the mistakes. Not recommended.

By Abhishek c

Jun 7, 2019

The learning is very fast paced.It seems like the trainer is in hurry.He just touched some keyword without going into details.

By Kush S

May 20, 2020

The instructor is very fast and assignments are very tough. Their is huge difference between the course and the structure.

By João C

Nov 15, 2021

Very little explanation on how the libs actually work. Assignments cover stuff that sometimes is not even lectured.

By Shrey S M

Jun 17, 2020

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .

By Abhimanyu S

Apr 9, 2020

Videos are too fast and the assignments are barely dependent on the videos. Had to spend a lot of time on Google.

By Yiren J

May 15, 2017

The materials are great, but the pace is too fast, I can hardy catch up. Really need to slow down a little bit.

By Apurv G

Mar 31, 2020

2 stars only for the great assignments. Whatever I learnt in this course is through google and assignments.

By Sofia R

Jul 25, 2021

The course is not gradual. Especially the fourth assignment is too difficult in relation to the course.

By Shahar M

Nov 19, 2017

The lectures are much too concise, practice is scarce which renders an overall frustrating experience.

By Cecilia G M

Mar 7, 2017

Need clearer examples and explanations. Slides summing up concepts or used functions will be great.

By Dirk

May 28, 2019

Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!

By Burak C

Jan 24, 2021

At times the assignments are more confusing than teachin, especially for non-english speakers

By Jordan T

Aug 18, 2020

Good course but somethings are not explicitly stated when it comes to the exams and quizzes.

By naman s

Jul 31, 2019

faculty not that good as compared to my last course's.Charles severance was a great teacher.

By Saman S

Nov 1, 2021

Its assignments take too long to be accomplished. Somewhere videos were too fast to catch.

By don't m

Jun 9, 2020

I didn't find it good, it's pretty much straight forward with no explanation as such..