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
PK
May 10, 2020
The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
AV
Jan 1, 2017
To be an introductory course I struggled a lot, is a very practical course, and the assignements encourage you to learn more. This is the best technical course I have taken. Lo recomiendo ampliamente
4726 - 4750 of 5,968 Reviews for Introduction to Data Science in Python
By V V
•Apr 1, 2017
hard assignments, lecture was not enough to cover assignments.
By Machine L T
•Jan 17, 2022
Las asignaciones duraron mucho más de las 3 horas estipuladas
By Zifeng Q
•Nov 13, 2021
Overall good.
Assignment wording could have been more precise.
By Anas A
•Jun 20, 2020
Really good course. Just gotta dig up stuff on your own alot.
By Christopher J
•Jun 19, 2020
Excellent course, though the interpreter needs to be updated.
By Shivang S
•May 4, 2020
Very difficult for those who are new to this numpy or pandas
By Sahil S
•Feb 2, 2020
satisfactory,
although last week lectures need to be improved.
By Kartik K
•Aug 2, 2019
Bit difficult for one who is not from programming background.
By David B
•Sep 16, 2018
Interesting exercise if you're willing to trawl StackOverflow
By Rakesh K M
•Oct 2, 2024
The experience was unique and quite fun to be honest,really.
By PRAKASH S
•May 2, 2020
There is a lot of scope for the improvment of vedio lessons.
By Nasir H
•Jan 7, 2020
The content was high level and good. You should explain more
By Hannah
•Sep 1, 2019
Good courses and exercices but difficult to submit sometimes
By Andreas B
•Dec 27, 2018
Great course. Tasks being not precise is sometimes annoying.
By Snehasish S
•May 12, 2018
Course videos should be more and in detail for each concept.
By Manuel T
•Jan 8, 2018
Quizzes do not match videos. Anyway, great course all in all
By Aaron W
•Sep 29, 2020
Very good introduction. Assignments were really difficult.
By Karan S
•May 14, 2020
Was quite condensed and not explained fully in some places.
By Dhruv S
•May 5, 2020
Assignment 3 is very ill-planned rest of the Course is good
By Onur D
•Jun 2, 2019
Great content, just some parts need a bit more explanation.
By Рычков А В
•Apr 17, 2019
Последнее задание, требует подгонки данных? Очень странно..
By SUDHANSHU Y
•Mar 11, 2019
This course is best to start in Data Science for beginners.
By Purusharth A
•Mar 12, 2018
Very effective course to start with Data Science in Pyhton.
By ANGEL A L B
•Jul 31, 2017
It has its problems, but it's a great start to Data Science
By bret r
•Dec 4, 2016
Good content - some prior knowledge of pandas is important.