Ratings and Reviews for Introduction to Data Science in Python

Challenging, fun, and informative. Highly recommended if you think Python will be useful in your day-to-day work.

Good training for beginner. The last assignment seems to be quite challenging but once delivered helps a lot to increase the confidence.

Immersive and challenging introduction to python/scipy libraries in just one month. The thing I like the most: Assignments make you think twice, they are challenging enough to make you investigate further on your own about a probable solution What I disagree: Time marked for each activity in course (specially programming assignmenent resolution) is non realistic, actually takes much more than 1..5 hrs to solve the assignment

Takes some more time than it is said in the course. I didn't have any experience in Python so that is probably the reason.

It is a hard process to learn this lesson, but also rewarding. Thanks.

Great teacher, great lectures, good example code and assignments that are not too easy and not too hard. I really feel like I learned and achieved something.

Good explanations, well structured. However, I wish the weekly content would have prepared better for the assignments. If I have to add another 3h per week to find the right advice on stack overflow, that must be stated somewhere so I can plan ahead.

First three modules are great but in the last module (Week 4) Prof Brooks is rushing through many topics. Probably consider having lesser content with proper explanation.

So far, it is very

Excellent for data science beginners. You must know python programming and some background in statistics beforehand in order to fully understand the content.