Ratings and Reviews for Introduction to Data Science in Python

Bad

This course is a wonderful way to start your data science journey. You can learn the fundamentals of data manipulations with numpy and pandas, it has a great set of data sets, challenges and quices to test your skills.

Educative

very useful course

best course for data science aspirants

I do not recommend this course. First, the provided material is not sufficient to pass the assignments. Assignments in W3 and W4 require high level of comfort with pandas, and to good extent with numpy. There is not enough practice in this course to get there, and then, some assignment element dive into specifics that are a) not covered in the course at all, and b) require not only theoretical knowledge of these libraries but also practical experience. The optional recommended book is in fact not optional. Alternative is to comb through many external tutorials, but then, why bother taking this course? Now, I have over 20 years with Python, databases, corporate systems, and with business (non-data) analysis. I was really struggling, as I happened to have never worked with pandas before. Prior experience with pandas shall really be an entry requirement for this course. I did pass it, with 100%, as I never give up. But it was not a good experience, and I have seen people on forum rage-quitting this course.

Easy to Understand, but there's some errors in the course. So go check Discussion when you get confused.har Assignments is very very time consuming, especially when you're not an American, like me :(. The data cleaning process is somewhat tedious but I think it'll be similar to the messy data in real life.

The teaching method is just too overwhelming. It's nearly impossible to keep up with such amount of information all delivered in a very fast rate. The programming tasks are nearly impossible to solve and they are not so relevant to the lectures.

Good

terrible infrastructure