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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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4851 - 4875 of 5,966 Reviews for Introduction to Data Science in Python

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 28, 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!

By Jayabharathi

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Jun 20, 2020

really useful for this lockdown situation..

By Sudipta R

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May 24, 2020

It's a perfect course to beginning with ML.

By karim m s E

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May 14, 2018

something amazing to explore the Data world

By REJANO , S C (

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Dec 26, 2020

Some supplemental files lack some details.

By CHAKRAVARTHULA A

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Sep 14, 2020

Tough for beginners, but hardwork pays off

By Ashutosh R

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Jul 24, 2020

It was nice platform to learn data science

By Kokul R

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Jun 25, 2020

It's more self-learning. can practice more

By Siddhant M

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May 10, 2020

try to explain more in the course material

By Ehtisham S

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Mar 11, 2020

write python code in easiest possible way.

By Willian R S

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Aug 12, 2019

Poderia ter mais exercícios para praticar.

By PREDEEP K

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Oct 31, 2018

Assignments gives more practical knowledge

By ayush k

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Jun 22, 2018

amazing course and great deal of knowledge

By Siddakka S

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Jan 9, 2021

I enjoyed the course and its very useful.

By Agamjot S R

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Jul 10, 2020

good course, helps in enhancing knowledge

By Ansita A P

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Jul 6, 2020

It was nice to learn from here, Thankyou.

By JAYDEEP B

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Mar 19, 2018

Too Tough for the assignments to complete

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 27, 2020

Learnt a lot .It is useful for my career