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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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4551 - 4575 of 5,937 Reviews for Introduction to Data Science in Python

By Max R

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Jul 7, 2017

Moves at a good pace with clear explanation of concepts and mechanics of tools used.

By Md. M H

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Oct 10, 2020

It's a nice course to learn both Python and data science. Thank you Michigan teams.

By Anurodh M

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Jul 24, 2020

The assignments were little challenging and more of external learning was required.

By Stanley M

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Jun 29, 2020

The instructions were too fast. The assignments were really demanding but helpful

By wwwangxinyi

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Mar 29, 2020

More detail needs to be found outside of the class. But the class is still helpful.

By Moshe H

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Oct 15, 2017

Very good course

Just I found that the coursework took way beyond what I catered for

By Kishaan J

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Apr 16, 2017

Gave me a thorough understanding of Python and Data Science. Thanks to the team! :)

By Bidhan A

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May 25, 2020

Course was good, as it gave overview of basics, but I think, more could be taught.

By Praphon K

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Dec 10, 2019

Good course structure and more getting insight to apply to real case data analysis

By Akshay G

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Jun 29, 2019

The course is well organized and the content is excellent. Try to keep more videos

By Bhawani P M

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Mar 7, 2018

Great course to start career as a data scientist. Crisp, clear and concise course.

By Jiunjiun M

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Jan 30, 2018

Homework should be better designed to provide more specification and better hints.

By Shubham P

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Feb 12, 2017

Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

By Luca P

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Apr 20, 2023

I find the assessments quite though.

Previosuly coding experience is really needed

By 김민욱

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Jul 26, 2020

I think that if you give more guide for programming assignment it would be better

By yash m

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Mar 8, 2020

This course has some really great exercises that aim to give practical knowledge.

By Jan P

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Dec 18, 2016

I recomend

Introduction to Data Science in Python

it is a good piece of knowledge

By Jarin t t

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Aug 31, 2020

The course content was really good, but the assignments seemed much hard for me.

By Amori H

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Nov 5, 2019

Sometimes I just don't know which part of my answer is wrong and why it is wrong

By William L

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Apr 17, 2022

The assignments are a bit difficult especially assignment 1 with a lot of regex

By Mario

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Sep 10, 2020

Great course but a little bit outdated, with some assingments poorly explained.

By kavitha m

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Feb 25, 2019

please give some more material for self learn that would help in assessment too

By Jeff B

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Oct 6, 2018

Solid introduction to the most commonly used data analysis toolchain for Python

By Richie M

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Jan 1, 2017

Great course, it would be nice to have more interaction and feedback from TA's.

By Jai c P

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Dec 28, 2016

course was good but teaching material was not enough to complete the assignment