Ratings and Reviews for Introduction to Data Science in Python

A hands on introduction in the Python programming language focusing in the use of the Panda library. Recommended!

Hard to follow this professor. He reads off the script and reads really fast. I have a background in Porgramming but this is the most confusing programming class I have ever attended, sorry :(.

The assignments were a very good indicator of progress. The tutor was a great help for when I had a problem. Thanks a million ;-)

A challenging and fast moving course. I recommend studying up on basic python before taking the course and to pause the videos often to understand each piece.

As others said, this course is fast paced, has only brief information in the videos, and has challenging programming tasks that requires students to get the required information elsewhere that was not given in the intros. Whether you like it or not depends on whether you are able to learn by yourself (with guidance on what to look for) or do you want to be fully nursed. For me, I LOVE IT! The material has enough information that I need, and I don't mind searching for references myself. The programming tasks are also challenging as it requires you to be really careful in reading the specs, and that is good. If you're not able to enjoy this course, maybe you need to take other introductory courses first.

The course was great and I learned a lot. Minus one star, because course required a lot more work than initially expected. Note, though, that this was probably mainly due to me being new to Python (coming from another language).

The course gives a good introduction to the python pandas library, with assignments that challenge enough to give a solid learning experience.

Amazing Course. Set my foundation in data science.

A lot of work. Not easy to pass exams. Good investment of time.

The course was a unnecessarily hard because of the lack of feedback from the grader, unclear requirements / function definition in the final project and difference in the file downloaded for the project and the one used in the Coursera python notebook.