Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan
About the Course
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 an...
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.
5051 - 5075 of 5,967 Reviews for Introduction to Data Science in Python
By Sujata A
•Sep 24, 2020
GOOD COURSE
By PUKKALLA G
•Aug 2, 2020
Nice course
By Ravi R
•Jul 31, 2020
nice course
By Sravya P
•May 10, 2020
Good course
By maheswari a
•Apr 20, 2020
very useful
By Neha S
•Aug 24, 2019
nice course
By John V H
•Feb 23, 2019
hard. good.
By Babji M L R K
•Dec 4, 2017
Really Good
By Bobby G
•Mar 20, 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
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