Ratings and Reviews for Introduction to Data Science in Python

Great Experiance

good

excellent course with suberb instructructors . surely will refer to other friends in the field.

Sienta buenas bases para el aprendezaje de ciencia de datos

the assignments are quit tough, but practical and real life problems. You really have to dive in and learn it. But you get better understanding.

the programing assignment were challenging, which is good as it resamples real world problems. However, the lectures were really lacking in terms of content and the student is left wondering around in stackoverflow finding ways to solve the problems. If this was the intention of the course, then you did great, however, for me, I wanted more content and a lot more explaniation in the videos.

This course did not provide the quality intermediate content that I was expecting. The lectures present material at a lower level with instructions to read elsewhere for further information. The lecturer is clearly versed in the topic but did not invest a lot of time in designing this course. The problem set gave me a chance to implement what I learned elsewhere but it was also frustrating dealing with the autograder. Also I felt like a lot of time was invested in unnecessary tasks like digging through an 80pg document to find the column name of the metric I needed to use to solve a homework problem. I can respect that this is how things go in real life but I took the class to learn intermediate python techniques for data analysis... The only reason I am giving this course 2 stars is becuase the mentors and helpers are motivated and quick to help when people post questions.

Great course!

Great intro for newbies. Recommend to do zour own project with this course + try to solve it and after some hickups go for inspiration. This is the best way to learn :)

Assignments seem to be problematic for many users.