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

4.5
stars
27,154 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

PK

May 10, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

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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2876 - 2900 of 5,968 Reviews for Introduction to Data Science in Python

By Dita P F

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Apr 4, 2020

I enjoyed it very much!

By 刘鹏

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Dec 12, 2019

very basic and helpful

By Shrikant L

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Nov 12, 2019

Course was informative.

By Muhammad I

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Oct 12, 2019

Very Informative course

By MOHAMMAD W T A

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Sep 22, 2019

Amazing course as usual

By nino d s

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Sep 15, 2019

good for our generation

By Wayne

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May 31, 2019

希望作業題目能有多國語言,英文題意有時很難體會

By Jason M B

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Mar 2, 2019

Lots of great learning.

By Debobrata D

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Feb 17, 2019

This is good tutorial .

By Yufu C

•

Feb 8, 2019

Very well put together.

By Zhijin K

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Dec 15, 2018

great!!! learned a lot!

By Abdul W M

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Nov 6, 2018

Exceptional lectures..!

By madan s

•

Sep 5, 2018

Nice course,

Love it :)

By 董东

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Nov 16, 2017

very good, thanks a lot

By robert p

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Jun 26, 2017

Excellent Introduction!

By Benjamin Y Y

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Jan 4, 2017

Good hands on projects.

By VITHAL C P

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Feb 1, 2022

nice learning platform

By Jose C C I

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Jul 13, 2020

Muy buena experiencia.

By Maroning U

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Jul 12, 2020

good and useful course

By Ugochinyere T U

•

Jun 11, 2020

Great course to learn.

By kirthika v

•

Jun 3, 2020

learnt a lot of things

By Hatam B

•

Apr 29, 2020

that is a great course

By Tommaso U

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Feb 21, 2019

Excellent instructors.

By Abdul N M

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Jan 26, 2019

Lecturer was very fast

By Md. K H P

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Jun 1, 2018

Best Best Best Ever :)