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

4.5
stars
27,120 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

AV

Jan 1, 2017

To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente

HC

May 4, 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.

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4501 - 4525 of 5,963 Reviews for Introduction to Data Science in Python

By Mauricio A E G M

Nov 20, 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 28, 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 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 Long Z

Jan 17, 2017

这门课程还算比较可以的。自学内容适中,主要教你如何用pandas模块。学完这门课程,基本可以达到熟练使用pandas模块。非常有帮助。个人觉得,作业还是有一定的难度,从一个中国人的角度看。

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.

By VENKAT K K

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

By Daan L

Mar 3, 2020

The autograder was very frustrating, threw a lot of errors. Course content was great though!!

By Rohit R W

Jul 29, 2019

These course is very good for data science with python in future for job purpose in industry.

By Gonzalo R G

Feb 12, 2018

The course is quite complete but it lacks a bit of extra formation towards the last exercise.

By Gareth J

Nov 20, 2017

A good course. The timescale for completion is realistic and the assessments are not trivial.

By Rupert

Jun 5, 2017

Tough speed - learning effect created by the weekly assignments. Good start into data sience.

By Najmeh R

Jun 4, 2017

The videos are not so comprehensive! but by doing exercises, your coding skills will improve.

By Prabhant S

Mar 2, 2017

the content was more focused on just pandas library

couldve included matplotlib and scipy also

By SADU R S R

Jun 27, 2020

To learn the basic level, this type of approaching is very good and it is done user-friendly

By Ashik S S

May 2, 2020

Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)

By Samchuk D

Nov 5, 2017

Extremely good, however requires a much more time and patience than specified (estimations).