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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 .

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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1551 - 1575 of 5,937 Reviews for Introduction to Data Science in Python

By Baptiste C

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May 1, 2020

Very good course for learn the most expensive part of machin learning : download and cleaning data

By Pratik K

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Apr 25, 2020

Best course to explore data science using python. Challenging course if your basics are not clear.

By CHIRAG A

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Feb 29, 2020

I think this is best course for beginner and all along with the level of questions and assignments

By Tarun G

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Feb 28, 2020

Excellent course for learning data manipulation with Python. Perfect for beginner/novice learners.

By Diego S

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Oct 20, 2019

The tests/exercises are awesome, though I think some questions should have more details or example

By Shengnan Y

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Jun 26, 2019

A lot more difficult than PY4E. Really struggled a lot on the assignment, but definitely worth it!

By Itzel B

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Jun 2, 2019

A difficult course, but I'm completely sure that you learn a lot and it help you for the real work

By tanmoy d

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Nov 22, 2018

An amazing course, both content and illustration, for an intermediate level data science learners.

By WojciechÅšwiderski

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Feb 10, 2018

Somewhat demanding for somebody who didn't have much experience with pandas but very professional.

By samuel w

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Jan 8, 2018

The assignments were difficult enough to enforce the concepts taught, which I found very effective

By xiyan

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Nov 8, 2017

Perfect course. I have learned more about python in data science. Exercises can be really helpful!

By Jonathan B

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Sep 18, 2017

Amazing course! Well-thought out and just the right balance between instruction and self-learning.

By Meher B

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Feb 19, 2017

Very good and practical course. Challenging and enjoyable assessments. Thank you very much indeed.

By Gabriele A

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Nov 24, 2016

Really great course about data science in python and pandas in particular. Absolutely recommended!

By Nicolas B

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Aug 1, 2021

Very good material and makes the student think. Learned a lot with this course, I appreciate it.

By HSIEN S

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Jan 13, 2021

Fast paced. Straight to the key points. Heal my pain points. Much more interesting than expected.

By MOHAMMAD D

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Sep 24, 2020

A very well designed course for beginners and it is very helpful to learn data science in python.

By Akriti T

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Aug 4, 2020

The experience was amazing. Each assignment was challenging and always pushes you to learn more.

By Oliver O R B

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May 28, 2020

Had been a good experience developing the first capabilities to data manipulating, thank for all!

By Lucas

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May 17, 2020

Very nice course to learn pandas library.

Assessment (especially last one) need better description

By Mirza A

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Sep 16, 2019

I love so much this course. The material teaches clearly and easies to understand by the lecture.

By Fadhel A

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Mar 18, 2019

Brief and well-structured material as expected from university class. Self-exploration is a must.

By oumaima d

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Jan 24, 2019

c'est un cours enrichissant il y'a beaucoup de chose à savoir mais bon en générale il est géniale

By Rafael A A S

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Nov 13, 2017

Great course with amazing learning tools and a great variety of resources to take advantage from.

By Wesley E

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Jan 21, 2017

Very good course with lots of hands on experience. Jupyter Notebooks are very good learning tool.