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

4.5
stars
27,109 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

PK

May 9, 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

YH

Sep 28, 2021

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.

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4826 - 4850 of 5,958 Reviews for Introduction to Data Science in Python

By PRATYUSH A

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Jun 7, 2020

The course is very good so as the instructor .

By Dongqing Y

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May 8, 2020

Assignments barely reflect the course contents

By Christian C G E

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Apr 28, 2020

Interesting topics but very fast explanations.

By Vikas Y

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Aug 20, 2018

Please,

Give some more insights of the basics.

By Serge B

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Jul 5, 2018

exercices should be explained in a clearer way

By Jaap d K

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Mar 23, 2018

Nice introduction. Learned a lot about Pandas.

By Takayuki S

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Mar 13, 2018

It took a while to complete, but was worth it!

By Sing C Y

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Aug 9, 2021

I like the real-world data for the assignment

By estelle B

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Oct 4, 2020

should be done after good knowledge of Python

By Prakash B

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Aug 9, 2020

one of the best course for the data scientist

By GOUTHAM R K

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Jul 18, 2020

Good ,But its not recommended for beginners .

By Islombek A

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Oct 2, 2019

Quite good, but mostly I need to learn on web

By Neha b

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Jul 20, 2019

great course, very good learning opportunity.

By Soumya G

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Apr 15, 2018

This course is not for new learners of Python

By Irena M

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Mar 6, 2018

Lectures should be longer witjh more details.

By Sean K

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Jun 18, 2017

kind of tough to catch up with as a beginner.

By Adnan A

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Dec 22, 2016

Course should be more interactive and details

By Anmol S

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Jul 6, 2020

Good Course but a lot more can be explained.

By JULIO C R G

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Jun 6, 2020

Instructions not clear enough on assignments

By 郭雪舟

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Sep 19, 2019

The assignments and project are very useful!

By Rich L

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Sep 26, 2018

Great introduction but a bit vague at points

By Mitchell J

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Apr 27, 2017

Good course to get you thinking about python

By Mary

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Apr 22, 2017

Good course the assignments were challenging

By Nipun K

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Jul 8, 2023

Great Course with minimum number of modules

By Aditya R S

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Jul 14, 2020

A bit overboard but practically well built!