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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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2051 - 2075 of 5,966 Reviews for Introduction to Data Science in Python

By Kelechi O

Nov 5, 2019

It is a great introductory course to Python use in Data Science.

By Jogisubhashini

Aug 17, 2019

this course is nice and it is very useful for my further studies

By Gabriel A O

Nov 6, 2018

This course has been one of the best he took: D. Thank Coursera!

By Justin R

Jul 3, 2018

Fantastic intro to pandas. Gave me the foundation to learn more!

By MUHAMMAD N Q

Jul 16, 2017

Very good course for all Technical and Executive Data Scientists

By T “ C

Feb 2, 2025

watch out for Chris he's a trickster! Some material deprecated.

By Edward B

Mar 3, 2023

Useful content. Difficult and time consuming but I learnt a lot

By Vinícius d C C

Jun 25, 2021

Hard to newbies, but very good course and the system to grade.

By Jeremy .

Dec 1, 2020

The assignments have distinctly improved my abilities in python

By SIMRAN S

Sep 6, 2020

A very Helpful course for beginners to learn while learning ML.

By Nicolás Z S

Aug 17, 2020

Great course, goes through all the basics and its very complete

By Prerna S

Aug 10, 2020

Excellent course! Very helpful to grow in my career. Thank you.

By Natalia C S

Jun 13, 2020

Aprendí muchas cosas que me había tocado utilizar sin saberlas.

By Himanshu M

Apr 27, 2020

The course content is very good and provide excellent knowledge

By ravi c

Oct 13, 2019

the course very interesting very helpful and excellent content.

By Tahsir A M

Jan 5, 2018

it's a very helpful tutorial for starting data science learning

By Sergio B S

Sep 18, 2017

A lot of work. Not easy to pass exams. Good investment of time.

By subham s

Jul 17, 2021

Good course for getting started with python,pandas ,numpy etc.

By rathan k

Jun 18, 2020

excellent course and very helpful.....

thank you so much sir...

By Bipul H

May 28, 2020

Very nice explanation using various python modules, I love it.

By Md. I H

May 6, 2020

Very effective course to start with. Thanks to the instructor.

By Adib P

Sep 16, 2019

Really helped me get my first step to data science with Python

By Dileep B (

Sep 8, 2019

All the lectures are very interesting and easy to understand..

By Prashant S

Aug 27, 2019

lecturer was really good but used a little complicated english

By Mahesh M

Aug 14, 2019

Has the level of programming exercises that I was looking for.