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

4.5
stars
27,126 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

CB

Feb 7, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

HC

May 4, 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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2301 - 2325 of 5,966 Reviews for Introduction to Data Science in Python

By Erol

•

Apr 24, 2020

That's perfect journey! Especially in Assignments!

By Ashish S

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Dec 14, 2018

Very good course for using python for Data Science

By Praveen K S

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Oct 16, 2018

This course is really helpful for learning purpose

By Tushar B

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Jul 17, 2018

Perfect place for beginners to learn data science.

By Suma D

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Mar 5, 2018

Excellent course. Like to join the next in series.

By Alaa S

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Dec 13, 2017

The course is very good , it really helped me alot

By Burak D

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Dec 10, 2017

Excellent course. It provides hands-on experience.

By Tony J A

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Sep 19, 2017

Amazing Course. Set my foundation in data science.

By Jaqueline P

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Aug 2, 2017

Great course! real example to use pandas and numpy

By jacopo m

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Mar 17, 2017

really interesting course and professors are great

By Tony L

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Dec 8, 2016

Best Python Pandas 101 course ever. Very recommend

By Tural M

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Jul 10, 2023

It was a good one. A strong fundamental one. Nice

By Ihor T

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Jan 17, 2022

This is my first course on coursera. Great thanks

By Hai D

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Apr 28, 2021

Good course, but some assignment was very tedius.

By Frank R

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Sep 21, 2020

Nice and challenging content. Great final project

By Md. S B R 1

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Jun 28, 2020

Very Helpful and the learning method is very nice

By Anatoly D

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Jun 28, 2020

Ok-ish video lectures, but very great excersises!

By SUBBA R D

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Jun 11, 2020

Very useful course especially for the beginners .

By Saqeeb

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Apr 8, 2020

One of the best mooc for data analysis beginners.

By Mohamed B

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Nov 10, 2019

Nice Stuff, practical tasks, meaningful exercises

By D. S

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Oct 9, 2019

Very well designed course. Learned a lot. Thanks!

By Claudius T

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Mar 3, 2019

This is an awesome course, instructor was GREAT..

By Rangari, A

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Aug 6, 2018

highly recommended to all data science aspirants.

By 王赛

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Jun 14, 2018

Good course for learning python and data science!

By Debra

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Jul 6, 2017

Good practise, challenging and allows me to learn