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

4.5
stars
26,999 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

SI

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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 .

GS

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This course was fast paced but the material was interesting and not to complex. I can only recommend this course to anyone interested in Data Science and who already has a basic knowledge of Python.

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4401 - 4425 of 5,937 Reviews for Introduction to Data Science in Python

By 王奕能

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Aug 31, 2019

The course overall is very helpful, but I felt a bit confused when doing homework with not enough instuctions.

By C.K. T

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Jul 23, 2019

good as a refresher -- data science using python is quickly becoming a basic life skills, think the new excel!

By Aditya K

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Feb 24, 2019

If you already have some experience with data science go for it! or else please learn the concepts before hand

By Tejasvi A

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Aug 2, 2020

Really good course. Tough homeworks, helpful forums. Definitely recommended if someone wants to learn pandas.

By Johan E C O

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Jul 12, 2020

I think some topics are hard to understand and need a deeper explanation, but in general the course was great

By Manjeet K

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Sep 1, 2019

Best for learning handling data in Python...just do the assignments honestly using StackOverflow suggestions.

By Jayaprakash K S

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Aug 15, 2018

I felt some lectures where really fast and too crisp to understand easily. But most of the where really good.

By xiongxr

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Apr 16, 2018

It's so good to make progress. It would be much better that if the description of the assignment is clearer .

By Ashwini B

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Dec 30, 2017

Overall, the course was good.But the explanation provided in the video is too fast for a beginner to pick up.

By Sagor A

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Sep 22, 2020

Overall this course is quite hard. But I'm happy that, I've learned a lot of new stuffs through this course.

By Nehir Y

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Jun 28, 2020

Assignments are very challenging and they truly helped me get a good grip of the basics of coding in Python.

By Vaibhav U

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Jun 19, 2020

Great content just needs some basic knowledge and you will definitely enjoy this course.

Thank you, Coursera!

By Sunil M

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Mar 6, 2017

it is a 5 star course but I am giving it a 4 star primarily because of the pace was very very fast for me...

By Juan M M P

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May 28, 2020

They should give us a database of the useful functions for assignments as some are really difficult to find

By Eric

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Sep 8, 2017

I liked the course and the subject matter. Not sold on the auto grader but understand why it is necessary.

By Nacho T

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Feb 3, 2021

Great introduction course, some assignments are not clear, but with Google and the forum you can pass all.

By ROHIT J

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Jun 30, 2020

i think the course was good.i am really happy that i completed it.but i find the course little fast paced.

By Hrushabh K

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Jun 8, 2020

Nice course! Professor Brooks taught things in a compact and comprehensive way. Assignments are intuitive.

By Muhammad s k

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Sep 16, 2019

It provides good hands-on experience through assignments but the explanation in lectures is in-sufficient.

By Omer A

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Feb 3, 2019

The auto-grader should return much more intuitive descriptions for why the grade is lower than full grade.

By Charles M

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Oct 2, 2018

Most of the lectures are good, and the assignments are good. There are just a few problems here and there.

By Paul W

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May 6, 2018

This course really challenges you to get in there and deeply learn pandas. I am very happy with the course

By Jessica S

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Nov 12, 2017

Good teaching and learning but quite a lot of personal work and the examples are all but fun to work with.

By shoeb k

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Jun 15, 2017

Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.

By John M

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Oct 17, 2022

Very good course overall, but the course pace is a bit fast and could break week 3 into two weeks instead