Ratings and Reviews for Introduction to Data Science in Python

The course is good but needs a bit more comfort with programming concepts than what the "Python for Everyone" course provides. Also, the course length could be slightly longer - a lot of material seemed to be rushed with not enough time to really grasp the concept before moving to the next one. Still, it laid a good foundation to build upon.

Great course! However, it requires a little independent learning and the assignments take a very long time to complete.

NOT ENOUGH PRACTIOTION!!!!

Relevant graded assignments and quizzes made everything interactive and also helped in improving my skills. Definitely recommended for someone who wants to go from beginner to intermediate level. The course also provides scope for own research and informative study materials.

Instructor was clear and concise, the quizzes and homework were applicable, and the forums were kept up. Great course overall.

Some of the questions in assignment are not so clear, and I wish we can see the reference answer after finishing all the test.

Very tricky but complete

i have gained so many skills from this course.

Overall nice and I was able to move at the right pace for me, which is pretty fast. I was annoyed by the many little mistakes, though, hence the low rating. More than 10% of the quiz questions had something wrong with them so that there was no one unambiguous right answer you could give. In a couple of cases you had to choose an answer that was clearly wrong to get the points for it. What made it worse is that given the high ratings and the number of students already enrolled I fully expected everything to be stellar. I reported all the errors I spotted to the discussion forums, but will not be bothering to do that in the future since the reports and trying to explain my cases proved in general more trouble than they were worth. Some things were promised to be fixed, some were ignored. So, mixed feelings and a mixed rating

I was really looking forward to this course. The lectures and the readings are great. I learned much there. I spent an inordinate amount of time on the homeworks, though. The problem formulation and grading were a fiasco. Even when the questions were stated clearly, you had to contend with hidden assertion tests, that offered very little in output describing how to correct your answer. Also, I checked my work always against the files in which we were supposed to perform our exercises. Assignment 3 was particularly atrocious; in that, the population sums the autograder expected could not be had, since the estimates were normalized differently in the actual file. Additionally, the quizzes were not well planned. Once, we were asked for the top 3 ranked individuals in a class (greater than 4), but the answer required by the autograder wanted fourth rank included; you received credit for answering incorrectly and were dinged for answering correctly. I pointed this out, but received no response.