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

4.5
stars
27,081 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

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

PK

May 9, 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

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3351 - 3375 of 5,951 Reviews for Introduction to Data Science in Python

By 倪璐磊

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Jun 19, 2020

Excellent!

By Juliet N O

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Jun 13, 2020

Thank you!

By Anderson F A A

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Jun 4, 2020

Very good.

By SWARNAJYOTI M

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May 14, 2020

It was fun

By Muhammad S A

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May 10, 2020

learn alot

By Rajeev T

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Apr 21, 2020

Wonderfull

By Jieyu W

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Mar 9, 2020

Excellent!

By Yoselin A

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Feb 25, 2020

Excellent!

By Djibril D

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Jan 1, 2020

Thank you.

By Iaroslav-Andrei H

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Nov 15, 2019

super cool

By Takuya　Kudo

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Aug 1, 2019

Marvelous！

By Luis Q

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May 11, 2019

Excellent!

By Jeffin S

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May 2, 2019

Very good!

By naive666

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Apr 11, 2019

Very Good!

By Shubham C

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Jan 24, 2019

Very nice!

By Aishwary S

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Nov 8, 2018

Excellent!

By Praveen K A

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Jul 16, 2018

All good!!

By Xu T

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Jul 12, 2018

very good.

By Hyo I C

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Feb 16, 2018

Very good.

By Alan F

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Jan 31, 2018

It's good.

By Jorge V

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Dec 16, 2017

Excellent!

By Cyrus F

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Apr 26, 2017

Very Good!

By Camilo A

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Apr 8, 2017

Excellent.

By Carlos R G

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Mar 8, 2017

Excellent!

By Xiaodong P L

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Feb 6, 2017

Hard to do