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
26,999 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

Invalid date

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.

PB

Invalid date

It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

Filter by:

4901 - 4925 of 5,941 Reviews for Introduction to Data Science in Python

By Yousef M

•

Apr 24, 2020

autograder is not fun to work with

By Yu D

•

Aug 8, 2019

作业确实难，但课程也很棒，如果课程能再多一点实例讲的更细一定会更好！

By vikash s

•

Mar 2, 2019

ITS WAS A GOOD EXPERIENCE FOR ME..

By Selvakumar

•

May 30, 2018

Good way of starting Data Science.

By Shivam A

•

Oct 15, 2020

Needed a bit of more on Python DS

By Rakhshanda M

•

Jul 18, 2019

Could have been more interactive.

By Miguel L P

•

Oct 19, 2020

Really good exercises and theory

By gaurav s

•

Sep 9, 2020

That was tough but it was worthy

By PRAKHYATH K U

•

May 18, 2020

The week4 could have been better

By Mukul S

•

May 14, 2020

accent is not easy to understand

By Hamideh T

•

May 16, 2019

DIFFICULT FÖR ME BUT REALLY GOOD

By Shankar J

•

Mar 18, 2018

Good course with great practice.

By Dongqing X

•

Nov 18, 2017

The ipynb service is not stable.

By Sunder L

•

Jul 31, 2020

my overall experience was good.

By Ashish C K

•

May 2, 2020

expected much more but its good

By Farheen N

•

Apr 2, 2018

Very good course for beginners.

By Abdul R

•

Dec 28, 2017

Assignments are little tough :)

By Yilin H

•

Nov 25, 2017

too difficult for first learner

By VP P

•

Jun 6, 2021

fast pace - tough to catch up

By Anik S

•

Feb 18, 2021

Overall an informative course.

By Ilina D

•

Sep 22, 2020

not enough practical exercises

By Shaniya

•

Jun 27, 2020

i loved it... very informative

By José D A M

•

May 22, 2020

Too fast, not enough examples.

By JayanthKumar K

•

May 1, 2020

I earned a lot in this course.

By INAM U H

•

Apr 17, 2020

It was a wonderful experience.