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

4.5
stars
27,126 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.

HC

May 3, 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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By SHASHANK A

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May 3, 2022

good

By Shahida J

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Apr 27, 2022

nice

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Nice

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Aug 12, 2021

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Jul 20, 2021

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Jun 29, 2021

best

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May 30, 2021

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Apr 16, 2021

Good

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Mar 5, 2021

nice

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Jan 29, 2021

good

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Jan 7, 2021

good

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Sep 27, 2020

nice

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Sep 3, 2020

good

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Aug 24, 2020

nice

By Srirup L

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Jul 26, 2020

best

By RAGHUVEER S D

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Jul 25, 2020

good

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Jul 18, 2020

Good

By Madhuri S

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Jul 15, 2020

Good

By ADITI S

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Jun 30, 2020

Good

By Mukesh D

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Jun 27, 2020

Good