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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

DT

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Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.

HC

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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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5451 - 5475 of 5,940 Reviews for Introduction to Data Science in Python

By ti t h

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Oct 26, 2018

Auto grader needs to give more feedback. Too many things to learn by yourself

By Anil K N

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Jun 22, 2019

There should have been more quizzing assignments rather than the coding ones

By ANANYA J

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Jun 29, 2020

in starting course is good but at the end it will become boring and lengthy

By Thiago J M M

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Apr 21, 2020

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

By Thomas G

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Sep 25, 2019

It's really informative, but there is too little instruction in my opinion.

By Jens R

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Nov 27, 2018

In my point of view, the lectures and the assignments are not well matched.

By Jai L 1

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Apr 13, 2020

Tutotial videos of jupyter are very fast and need much time to understand.

By Srikanth G

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Nov 10, 2019

It would be nice if we have more explanation for questions in Assignments.

By Shiva K

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Jul 23, 2020

Very fast explanation and coding is also very fast and hard to understand

By Albert W

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Nov 14, 2018

Overall is good but the contents seem to be a bit difficult and too rush.

By Premjith B

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Nov 21, 2016

The assignments were good but it was a lot of time spent with the grader.

By Eric L

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Mar 20, 2021

submitting the assignments with the autograding is extremely frustrating

By Thi T H N

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Aug 21, 2019

The course is not well organised. However, the projects are interesting.

By Ryan S

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Nov 22, 2017

homework format of outputting values from functions needs to be improved

By Abhishek P

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May 10, 2020

Course way too easy and has quite less information/knowledge to offer.

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 19, 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