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

4.5
stars
27,057 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

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

CB

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.

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5476 - 5500 of 5,948 Reviews for Introduction to Data Science in Python

By Shivam P

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Jun 26, 2020

The assignment is too difficult compared to what they teach in course

By tushar s

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Jun 20, 2020

Not providing in-depth knowledge of functions through video lectures.

By Chirag S

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May 18, 2020

Expected a detailed explanation instead got a very brief explanation.

By Christopher C

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Mar 30, 2020

Only a few resources. Each Jupyter Notebook lack context and comments

By Stefani N

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May 29, 2018

I think the assigments are a bit difficult for an introduction course

By Jaepil L

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Mar 26, 2018

nice intro, but requires background knowledge and self-study,,,,a lot

By Thanasis M

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Aug 26, 2017

Very handy exercises, but the lesson lacked in examples and guidance.

By Cunquan Q

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Mar 11, 2020

Too quickly for me! I need to stop and type the codes on my laptop!

By nitish k p

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Jun 15, 2020

the course should be updated and assignment questions are unclear

By Azadeh T

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Jun 8, 2020

The assignments are waaaay more difficult than the class material

By Subiksha P

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Jun 3, 2020

Last week assignment involved topic which was not taught in-depth

By Torsha M

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Sep 4, 2020

It has helped in building data structure and understanding of so

By riffault f

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May 12, 2019

I would like to have more precisions during the video courses

By Tan L M

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May 13, 2020

Course assignment is not on the same level as content taught

By ametel01 a

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Jul 28, 2020

Very good assignments shame the video lessons are very poor

By Asheesh L

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Jan 28, 2019

Course was ok. Submission of assignments is really painful.

By Rounak C

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Apr 28, 2020

Amazing content but needs to be a little more structured

By Giorgi B

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Apr 19, 2017

Much more difficult assignments than taught in lectures

By Swathi P P

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Jun 2, 2020

this course could have covered much more deeper topics

By HIMANSHU S

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May 29, 2020

Its very useful for me. thank you so much for help me.

By József D

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Mar 28, 2023

too fast paced, does not go into details unfortunatly

By Viren S

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Jun 7, 2020

Need basics to be cleared before entering this course

By Galen S

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Sep 26, 2017

Thought assignments could have been better designed

By Michael T

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Dec 27, 2016

To much disconnect between assignments and lectures

By Samuel L

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Jun 4, 2020

Please update the course pandas and numpy version!