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

4.5
stars
26,999 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

YH

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This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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By Srirup L

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Jul 26, 2020

best

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Jul 25, 2020

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Jul 18, 2020

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Jun 20, 2020

nice

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May 17, 2020

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May 16, 2020

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May 5, 2020

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May 1, 2020

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Apr 20, 2020

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Apr 17, 2020

Nice

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Feb 13, 2020

good

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Jan 6, 2020

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Jan 3, 2020

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Dec 19, 2019

Nice

By Yao Z

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Nov 21, 2019

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By T.H. J

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Nov 1, 2019

Good