Ratings and Reviews for Introduction to Data Science in Python

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!

This course is great course for me, give me basic knowledge in Python Data Science. I will implement this Python new skill on my next Python project.

nice course with in depth feel of the numpy and pandas!

I really enjoyed this course, and gained a tremendous amount of knowledge about how to use python for data science (specifically how to work with pandas). I feel like there was a lot of advanced material, which is good, but makes the course quite challenging for an introductory level course.