Ratings and Reviews for Introduction to Data Science in Python

Good course, challenging as well.

Very well designed course , it compels students to go in-depth for assignment work. Very helpful Teaching staff as well

As a python newbie, I found this course challenging yet so much fun to learn. Dr. Brooks presented the lectures in a very organized way and made them easy to follow. If you have experience in R, you probably would pick up Pandas real quick. Students are expected to devote a lot of time into the assignments and try to find the answer on your own. But with all the great tips and clarifications from our diligent mentor Sophie Greene, it's definitely achievable. Will take the other courses in this specialization and definitely recommend it to anyone who's interested in data analysis.

Learning this course gave me confidence and more interest in exploring data science, I plan to explore further through the next couple of courses.

I enjoyed the way the Professor presents the concepts with real and interesting examples. The exercises during the presentation was an extra motivation. And I appreciated that each assignment was well selected with real data. The mentors and staff in the discussion

Awesome Course

Excellent!

Although, i had some basic knowledge of data science before and also i did some programming in python, yet i find this course comprehensive and practical.

Felt like this course was trying to pack a lot of information into only four weeks. I find Python to be a very frustrating language - at least that's how Pandas feels. Compared to R the syntax is dreadful. And I found myself digging through help files and FAQs to find ways to do what should be the simplest things - like accessing values in a data frame. The Pandas help documents are not written for beginners, but written in a mathematically precise manner that makes them inaccessible. (Their preference for 1-letter variable names is unhelpful.) Stack Overflow is much better but it's a crap shoot as to whether somebody has addressed the exact issue that is bothering me at any given point. One final issue: it would be nice to see model solutions. I understand the difficulty in having online solutions available for an online course, but I found myself writing what I considered to be inefficient code fairly often. Would love to see slicker ways to do these tasks.

Very good course