Ratings and Reviews for Introduction to Data Science in Python

The course has sufficient rigor to prepare you for what is coming in the rest of the program. My opinion is based on my experience with the many Johns Hopkins Data Science courses I completed on Coursera. The auto grading system can be improved. The feedback on failed submissions is sparse and you have to go to the discussion boards to figure out the solution. Warning to students who tend to get trapped into figuring out a solution on their own: PLEASE go to the discussion often when doing the assignments and you will save a lot of time!

It was a great experience attending this course.

expected much more but its good

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 And the software version used in the course is outdated and hence we had to change the code multiple times as the syntaxes are not accepted in the auto grader.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.