Ratings and Reviews for Introduction to Data Science in Python

A very good course with basic knowledge for data science. However, it is a little bit challenging if you are fresh to this area.

Very useful

Course material is good esp. the assignments force you to learn a lot more. However, the instruction is not comprehensive. A few assignments were also ambiguous. The support forum is quite good but it would have been much better 1) if instructors would cover key topics a bit more in detail, 2) Easy to find auto grader scripts so one can understand the error or provide a better feedback mechanism from autograder. I had a spelling error in the answer and it took me 4 hours to correct it. Once I had the autograder code, the bug was very easy to catch.

My take -- assignments for week 3 and 4 leave a bad impression. I am quitting halfway through assignment 4. I won't take another class in this sequence. I have taken ~10 online classes this year and only gave up on 2, including this one. I wasted too much time in weeks 3 and 4 cleaning data. When result dataframes have hundreds of rows it isn't trivial to scroll through them looking for problems. Time wasted on this would have been better spent on pandas. I get that data cleaning is a big part of data science, but this is a class not a job. A few questions tended to be vague on requirements but then very particular on what data is acceptable. The worst is getting a question wrong because the answer has type int64 and the grader wanted int. It doesn't help when the grader just says 'wrong answer' and there are no visible tests. The first question on assignment 4 is a good example of that. I did finish convert_housing_data_to_quarters, but from reading discussion forums that too has a few unstated requirements. There were also a few typos in assignments 3 and 4. Again, if you want my answers to be really accurate then invest some time to make sure your questions aren't ambiguous. This could be a valuable class, but you need to invest more in developing the assignments.

The speaker speaks too fast for any useful "sharing". One need to do reverse engineering to understand the code and underlying concept.

great

The assignment is a little bit hard....

Solid introduction to the most commonly used data analysis toolchain for Python

Finest one.! Best one for the starters of data science.!

Excellent excellent course! The instructor explains very well and video lectures are typically 5-10min only- very good bite-sites! Assignments are well-designed and you are working with real data!