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

24,724 ratings
5,544 reviews

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

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

Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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4151 - 4175 of 5,488 Reviews for Introduction to Data Science in Python

By viomesh s

Apr 2, 2020

Assignments are really hard

It required very descent coding. Problems given are not for beginners.

By Rodrigo J H

Aug 20, 2020

Sales con buena idea de pandas y de como tratar datasets, limpieza, union, obtener datos, etc...

By Dinesh D M

Jun 19, 2020

This course is really helpful me to start data science as a career. Thank you course instructor.


May 17, 2020

Great experience to learn Data science in Python. Looking forward to explore more on this topic.

By dufang

Nov 4, 2019

assignment is too hard, and no guide for it. It takes too much time search relavant information.

By Anubhav N

Jun 4, 2018

The course material should be more aligned with the level of questions asked in the assignments.

By anshu s p

May 29, 2020

No doubt this is the awesome course which lets you explore your wings into this exciting field.

By Suresh C

Sep 23, 2019

I wish there is more lecture material provided on dataframes, especially mechanics of grouping.


Dec 30, 2018

The assignment is DOPE lol, but nice support from the discussion form! Really great experience!

By 于涛

Dec 6, 2018

a little bit too hard in some assignments, need lots of time to learn by yourself from internet

By Mauricio A E G M

Nov 19, 2018

In my opinion, the best thing that has this course are assignments, I learned a lot doing them.

By Houyi D

May 21, 2018

I think the material is still small. I think it still could include more things in this course.

By Hugo S S

May 27, 2017

Very good course although the assagissements are a little bit too difficult (at least to me...)

By Ramprakash V

Apr 9, 2017

A worthy course to begin Python & Data Science with. I enjoyed learning Data Science in Python.

By Zhijun C

Mar 27, 2017

Hope that lecture videos could be longer. Anyway, it is a great course, I really learned a lot.

By Md. S K A

Sep 21, 2019

Excellent and focused on application. But the instructions for assignments need to be refined.

By Vivek R

Jul 27, 2019

The course is good. But is very fast-paced. You do need to have a good experience with python.

By Akila R

Dec 7, 2017

The final assignment is very tough and needs more tutorial help and more descriptive questions

By Jakob S M

Jul 17, 2017

Grate material.

Some of the videos are not correctly cut, making them a bit confusing at times

By Da Z

Mar 12, 2017

requires too much self-learning,could be overwhelming to those who lack concrete python basics

By 张龙

Jan 17, 2017


By Nuno d S

Dec 11, 2016

Very nice course. The only problem that I found was the lack of exercises between assignments.

By Paweł R

Dec 3, 2016

Good introductory course, but I must admit that the assignments are not explained well enough.


Jan 19, 2021

Assignments were a bit tough(had to do a bit of searching on net) but the lectures were good.

By Ali A

Mar 12, 2020

it was really a good course, But there should be detailed explanations as it is for beginners