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
27,109 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

CB

Feb 6, 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.

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.

Filter by:

5051 - 5075 of 5,958 Reviews for Introduction to Data Science in Python

By Bobby G

•

Mar 19, 2017

cool course

By 虔城光景

•

Dec 8, 2020

可以提供中文的字幕吗

By WARIS A

•

Jun 15, 2020

Gud Enough

By Anurag K

•

May 27, 2020

good workk

By Sumit J

•

May 20, 2020

got basics

By ulrich h g

•

May 11, 2018

Excellent!

By tv w

•

May 30, 2017

good intro

By MEFO S M B

•

Nov 9, 2022

Very good

By Junior B

•

Jul 23, 2022

tres cool

By Piyush S

•

Aug 15, 2021

excellent

By Priyanka M

•

Aug 14, 2020

very good

By Anant k

•

Aug 10, 2020

excellent

By MOHD A

•

May 9, 2020

fantastic

By VIDHU V A

•

Jun 29, 2020

NICE ONE

By Shashank M

•

Jun 29, 2020

Good one

By Prateek G

•

Apr 28, 2020

liked it

By Xuanan S

•

Dec 26, 2019

a

b

i

t

h

a

r

d

By Avi R

•

May 19, 2019

Awesome!

By Lionel_Guo

•

Mar 8, 2019

too hard

By Danish A

•

May 3, 2017

good one

By Hritvik D

•

Aug 7, 2020

awesome

By Nirman T

•

Aug 1, 2020

pogger!

By CHARCHIL 1

•

Jun 5, 2020

Helpful

By Vincent V

•

May 22, 2018

great !

By John P

•

Feb 25, 2018

Thanks