Name: Introduction to Data Science in Python
Brand: University of Michigan
Availability: OnlineOnly
Rating: 4.5 (5994 reviews)

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

4.5

stars

27,265 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

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.

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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5551 - 5575 of 5,993 Reviews for Introduction to Data Science in Python

By Lina H

•

Mar 27, 2022

Good for beginners in pandas and numpy

By COMP-25 N S P

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Jun 15, 2020