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

4.5
stars
27,148 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 7, 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 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

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By Mukesh D

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Jun 27, 2020

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Jun 20, 2020

nice

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Jun 18, 2020

good

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May 1, 2020

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Apr 23, 2020

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Apr 20, 2020

GOOD

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Apr 17, 2020

Nice

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Feb 14, 2020

good

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Jan 6, 2020

Good

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GOOD

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Dec 20, 2019

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Nov 22, 2019

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By T.H. J

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Nov 1, 2019

Good

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Jun 2, 2019

good

By Utkarsh K S

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Apr 10, 2019

GOOD

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Mar 29, 2019

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By ABHAY K M

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Mar 1, 2019

good

By Danial A

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Feb 24, 2019

Good