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

4.5
stars
27,246 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

KL

Mar 12, 2018

A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.

ME

Jul 27, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

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Aug 25, 2020

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Aug 1, 2020

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Jul 10, 2020

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Jun 16, 2020

BEST

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May 25, 2020

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May 17, 2020

Nice

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May 7, 2020

good

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May 5, 2020

good

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Sep 7, 2019

Good

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Sep 7, 2019

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Jun 21, 2019

good

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Jun 4, 2019

Good

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Aug 14, 2018

good

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Sep 4, 2017

good

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Oct 27, 2019

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Aug 28, 2020

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May 3, 2020

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By Saulie

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Mar 26, 2020

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By 黄远（Mr.依然）

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Dec 28, 2019

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