Your browser is ancient!
Upgrade to a different browser to experience this site.

Ratings and Reviews for Introduction to Data Science in Python

Back to course Page

Reviews and Ratings

4.5

23,517 Ratings from Coursera

Reviews

Positives: I really enjoyed the course and the exercises were a bit tough but helped me learn a LOT of useful information. It is a good course. I will highly recommend this. Negatives: Some sections are rushed and is not much help. And the software version used in the course is outdated and hence we had to change the code multiple times as the syntaxes are not accepted in the auto grader. This is a shame.
Quite Difficult
Loved almost every bit about the course: the material, the learning pace, the instructor. One thing I would request is to update the python libraries in the assignment. In doing the assignments I came up with solutions which works on current library version but not for their old version. Had to explore old apis to complete those assignment which was kind of stressful especially for setting up the older python libraries locally.
I reallly love this course, even the auto grader did give me troubles, but also helped me understand the small discrepancies and details that i might have overlooked otherwise. This course is the first course on Coursera that on a second study day I had alr decided to pay for the whole specialisation, as i did notice some other courses that do not provide much practical value. I would like to specially thank Prof Brooks and all the other teaching / helping staff who reply the questions in forums. It was impressive when i saw some replies by staff that were just posted like an hour ago, which means the forum is very actively managed. The whole course structure is well-designed with heavy workload (smile). Previously I read the golden book (which was also mentioned by Pro Brooks in the videos) for python analysis previously, but insufficient practice stopped me from progressing fast. The assignments and tasks build up our experience and confidence in python analysis. Looking forward to an advanced python data science course / specialisation :)
Could be more basic for me it was hard to grasp some concepts but somehow did it . Thanks :)
Great course!!! I'll recommend it to my friends.
I've learned a lot in this course, starting by leveling my Python, to a lot of Pandas and Numpy, thank you.
It was a great course since I had the opportunity to learn the foundations of data science by using python as well as its main packages
El curso muestra de manera progresiva el uso de la librería pandas y pone a prueba las habilidades de cada persona para enfrentarse a problemas
Very good course for learn the most expensive part of machin learning : download and cleaning data

Michigan Online
For You

Sign up for a Michigan Online account to customize your experience!