Ratings and Reviews for Introduction to Data Science in Python

i really like it

The course is well explained. The grading mechanism is insufficient... in some exercises I arrived at the same result but somehow the answer would be graded as incorrect; and I could never find the formatting differences. Also, I come from the R world, and I find Pandas extremely unintuitive.

Too much information to absorb within 4 weeks course, requires to spend lots of time offline in learning and researching the Python codes to resolve problems in the Assignments. WOud recommend for hte proficient programmers but not for the beginners .

Overall very good. Like the lecture styles. Some of the questions in the assignments aren't clear, but the discussion forum helps a lot.

This is simply the worst teaching i have ever seen. the listed requirements are not what is required. instead I ended up googling the possible solutions for 3 hours until i gave up - since there is also no additional material to add. I don't agree with the professors expectations we will just magically know more than he taught in the course. I am paying to be taught at an acceptable level, and this surely was not acceptable. disgraceful. He should not teach anyone anything.

Very interesting and challenging course. It gives you the big picture about Data Science and all the advantages Python has to deal with it. I recommend it if you are minded to expend a couple hours researching by yourself.

Lecturer seems unaware that most people are coming across this material for the first time. Goes over things too fast with not enough examples. Assignments have a lot of questions that are ambiguous and lead to a waste of time trying to figure out what you are being asked.

I would highly recommend this course for beginners who wants to get into core Data Science field. The course familiarizes participants on how to handle data including wrangling, cleaning and manipulation using pandas and numpy modules. The contents are well organized.

Primary instructor is very good and very clear. Although I feel that in the MOOC format he could have spent more time going through the mechanisms going on underneath (even if you don’t need it to complete the problem sets). However the lectures from the assistant are poor - he seems to speak without explaining anything. Major issue is the problem sets themselves. Some of the questions are really poorly written (and I think in some cases wrong). For example in week 4 I spent longer trying to debug a question (that I got right) than I spent on the whole week put together; the answer being something that wasn’t explicitly asked for in the question. If you’ take the course read the forums... there are dozens of posts from students (and teaching assistants) complaingin about the questions.

Great introduction but a bit vague at points