Chevron Left
Back to Introduction to Data Science in Python

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

4.5
stars
27,268 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

ME

Jul 27, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

JT

Apr 22, 2018

Great course, make sure you are comfortable in Python before diving in. Covers basic DataFrame work including cleaning, generating new data from existing data, and how to execute merge/join/update.

Filter by:

4976 - 5000 of 5,993 Reviews for Introduction to Data Science in Python

By Purva G

•

Jun 28, 2020

Correct the subtitles please

By Preethi

•

Jun 9, 2020

it is very useful and clear.

By Dharmendra C

•

Jul 4, 2018

christopher brooks is great.

By Ayush V 1

•

Jul 5, 2020

Can go at a bit slower pace

By Aniket B D

•

May 30, 2020

This Course is really good.

By Sahrul

•

May 20, 2019

a great course for beginner

By Juan V

•

Oct 7, 2017

Took longer than I expected

By suraj b

•

Aug 15, 2021

course is good and helpful

By Marlon Z R A

•

Jul 6, 2020

It was a great experience.

By Yash k

•

Oct 30, 2018

Assignments are very good.

By 郜梦蕊

•

Dec 4, 2016

Not so easy ,not too hard!

By Mesfien

•

Jan 6, 2022

The course is very good..

By Jesús G E C

•

Aug 31, 2020

the assignments were hard

By Siddharthan M

•

Jul 24, 2020

Good introduction course!

By Job Q

•

Jul 22, 2020

Nice introductory course.

By JITHIN P J

•

May 9, 2020

Good Learning opportunity

By Aayush J

•

Apr 24, 2020

Great Learning experience

By Akash M

•

Jan 22, 2020

VERY WELL BALANCED COURSE

By Antti K

•

Dec 2, 2019

some tasks were ambiguous

By Avinash S

•

Jun 25, 2021

It is very good session.

By Lorenzo R

•

May 20, 2021

Very tricky but complete

By Divyanshu

•

Nov 30, 2020

it is good for beginners

By Gamaliel D

•

May 29, 2020

Efficient and Worthful!!

By Bekim F

•

May 25, 2020

Overall very good course

By Prateek B

•

May 15, 2020

Good Learning experience