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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

DT

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Fantastic course that I learned alot from. The assignments were tougher than I expected, and it was a great way to really groke the concepts. My only criticism was that the auto-grader wasn't great.

HC

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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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4851 - 4875 of 5,940 Reviews for Introduction to Data Science in Python

By Harshavardhan R

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Nov 3, 2016

Great pace for intermediate level people.

By RAMYA D K T

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Sep 26, 2020

Learnt a lot .It is useful for my career

By santanu b

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May 26, 2020

Explanations are too less in each module

By Bipin Y

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Apr 16, 2020

The questions were harder than expected.

By Andreas H

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Mar 29, 2020

Translation into german would be helpful

By Mengjie

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Mar 22, 2020

a little difficult for me，but gain a lot

By Dr. D S A

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Dec 13, 2019

The Assignments are little bit difficult

By Chethan S L

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May 27, 2019

Course content is excellent and helpful.

By Zhong H

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Nov 20, 2017

Basic information about numpy and pandas

By Devashish N

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Feb 12, 2017

Nice course for understanding the basics

By Sean M D C S

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Jan 4, 2021

Very good course with great instructors

By NIKKETHAN R

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Jul 2, 2020

Excellent course and somewhat difficult

By Daniel M

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Jun 5, 2020

Very strong base. Difficult assignments

By mrunal a

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Jun 4, 2020

amazing knowledge about numpy and panda

By Prince M K

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May 25, 2020

The pace was of the course was too fast

By Sanchita S

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May 10, 2020

For A beginner ,it was a great course !

By June L

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May 9, 2019

It is good but also very very difficult

By Howard Z

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Mar 13, 2019

A lot of information but extremely hard

By Youri D

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Jan 29, 2017

It was very hard but extremly learnful.

By Weizhi L

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Sep 6, 2020

The skills I learned are quite useful.

By Sathyanarayana V

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May 9, 2020

The online platform has trouble saving

By Narendhra G

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May 5, 2020

Thanks for the giving good stuff to me

By Kevin D

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May 18, 2018

Challenging and worthwhile for a MOOC.

By Viraj R

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Jan 21, 2023

Assignment 4 Question 5 is difficult.

By Smit D P

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Apr 28, 2020

Some assignments questions are tough.