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

4.5
stars
27,206 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

PB

Dec 29, 2019

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

ME

Jul 26, 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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By Padala V

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Jun 9, 2023

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Aug 5, 2022

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Jul 20, 2021

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Jun 29, 2021

best

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Mar 5, 2021

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Jan 7, 2021

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Sep 27, 2020

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Sep 3, 2020

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By miguel s

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Aug 24, 2020

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By Srirup L

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Jul 26, 2020

best

By RAGHUVEER S D

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Jul 25, 2020

good