Learner Reviews & Feedback for Python Data Structures by University of Michigan
About the Course
(503 Reviews)
(254 Reviews)
Top reviews
PP
Apr 3, 2017
Careful and deliberate coverage of Python's data structures. Use of the accompanying book provides additional detail beyond the lectures as well as further practice in the use of the data structures.
ME
Jul 19, 2019
This was a super-fun course! The materials were very easy to follow, and delivered in a very friendly and engaging manner. I highly recommend this course to anyone just getting started in programming.
3126 - 3150 of 10,000 Reviews for Python Data Structures
By Gui l
•Sep 30, 2022
Well illustrated. Clearly explained. The student needs to practice after the course to get more experience then.
By Jose C A
•Sep 29, 2022
Great course. It is totally recommendable to continue to learn python after the first course of the same module.
By Amy K
•Jul 26, 2022
Excellent course! Excellent Instructor. Was suprised by how good this was and how much i enjoyed the whole course
By shreelekha M
•Jul 17, 2022
This course provide good insights on data stuctures and how to use them to solve computational problem so easily.
By Atharv J
•Dec 6, 2021
Best course to learn python programming. This course covers basics of data structures through python programming.
By HackRomeXAxz
•Jan 30, 2021
this course talk about Data and use string ,tuple, list,dictionary.It very helpful to understand about this thing
By Apata o
•Dec 28, 2020
I can't believe how much I understand this course ! Excellent instructor and great resources! Thank you Coursera
By Dan C
•Oct 5, 2020
This course really explained some not so simple coding in a manner that made it look easy. Very helpful, thanks !
By Archan C
•Aug 23, 2020
A Great experience, with quite a familiar and student friendly instructor. Thanks a lot sir, for staying with us.
By RAMANATH
•Aug 1, 2020
Exceptional teaching by Dr Chuck sir again. Thank you for helping me understanding the basic concepts of python.
By Rama S A P
•Jul 26, 2020
Tuples concept could have been explained more in detail with more examples. The rest of it is too good. Thank you
By Mamoon K
•Jul 11, 2020
One of the best courses on Coursera. Really thankful to Coursera for providing us with quality courses like this.
By Gavishta L
•Jul 5, 2020
All the material were explained in an easily understandable manner. Enjoyed the course a lot. Thank you very much
By Bharath B E
•Jul 2, 2020
Really an awesome course and it provides a lot of knowledge to me about data structures. Thanks a lot Mr.chuck!!!
By UDIT Y
•Jun 22, 2020
NICE COURSE ON DATA STRUCTURES.ASSIGNMENTS ARE GOOD TO TEST MY UNDERSTANDING AND SOLUTION CLEAR MY UNDERSTANDING.
By mohith j
•Jun 17, 2020
the course instructor teaches everything at the best so i could easily get 100% in every quiz /graded assignments
By Bikan B
•Jun 15, 2020
This course is so much amazin. I like the course very much.by the course everyone can easily learn and understoo.
By Habtamu S
•Jun 10, 2020
This was a very good introductory course, i like it so much that I finished within a few days after I started it.
By Rishabh P
•Jun 3, 2020
It is very good course . The course covers all important topic . Its exercises are also very good and interesting
By CARLOS M R G
•May 12, 2020
Un curso muy entretenido, me agradaron los problemas propuestos, creo que un poco mas de dificultad seria genial.
By Shivam G
•May 6, 2020
The way of teaching is very good and the content delivered is also good .Thank you Sir for teaching us very well.
By Regina N
•Apr 26, 2020
The course is simple to follow while allows you to crack your brain during the assignments. Dr. Chuck is awesome!
By shubham k
•Apr 25, 2020
the course was interesting yet i didn't like the idea of Bonus videos which was just a waste of time and resource
By Sanjay R
•Jul 19, 2019
Dr. Chuck is a great instructor! He absolutely loves what he is doing and imparts his knowledge very effectively!
By Dawoud A
•Mar 24, 2019
Good assignments help drive home the point. A week's worth of material if you come from a programming background.