Ratings and Reviews for Introduction to Data Science in Python

This course was excellent...I first found the course odd since the instructor went through the material quite quickly in the lectures. It took me a while to figure out that the material was available as a course download. Once I found that it was easy to follow along with the instructor...need two monitors ideally for this to work. If you cannot step through the Jupyter notebook as the instructor goes through the material, you will be lost...and you will not get the most out of the class.

The course is good and provide great challenges to do a lot of things with Python and Pandas. However, I find that its resource material sometimes lacking complex examples. This may be intentional in order for the students to learn from external resources as well. However, this can also causes difficulties for people who are not already familiar with Pandas before they start following the course.

Great! Even for someone with some python / pandas experience, it was a nice refresher / found new tips / tricks. I actually enjoyed the fact that the assignments didn't hold your hand and forced students to solve problems with the forum and other resources. Look forward to the rest of the courses in this specialisation! Two aspects you could improve is teaching is (1) Multiindex and (2) Regex. It seemed like you purposely avoided discussing these. These should be a mandatory subjects to learn.

The theory and examples are very good and cover a lot of functionalities. I like most the questions that pop up in the middle of the videos, it is a great way to check whether you understood the concepts. Some parts require refinements, the questions in the middle of the videos must be synchronized with the content (there is a little time gap) and the questions in the weekly assignments must be reviewed in depth, I dislike wasting a lot of time trying to understanding what is required to answer in each question.

This course is a challenging (and solid) introduction to using python.

This was way above my level knowledge. One will definitely a strong level of knowledge in stats and data analysis to begin with. The Python part is but only a tool in this module / course. For that reason I found the tutorials way too fast paced. I had to go back on everything and test, so a 5 mins tutorial video would sometimes take me 30 mins or longer to complete. The 3 hour / 4 hour assessments took me days! Yet - a great way to jump into something new! The course itself is great. The presentation and content is just as great.

I like the course very much. It was fun to learn and to do the exercises. There were some rough edges in the assignments but I'm sure these will be straightened out in time.

The content and assignments are certainly useful and relevant. However, the lectures are too short and do not help much with doing the assignment. As a beginner, I relied heavily on google and the discussion forum to get through the assignment. And I am not sure if i can actually tackle similar problems again without referring back to the pre-mentioned resources.

Excellent! A little harder for new students in python but very interesting!

More concise coding tutorials and less "search on your own on the internet" needed. It is great to get to know the online community and the course needs more coding example directly relat to exams.