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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

Great course
Actually I wanted to select zero stars! I never leave reviews but for this course I will make an exception. This is the worst course I have taken period. Instructor robotically reading ill-prepared material off a prompter. Save time and money and just use google.
Everything is taught from scratch, which makes this course very accessible- still requires effort, however will leave you with real problems,confidence and understanding of subjects covered. It was very helpful and easy to learn.The quiz and programming assignments are well designed and very useful. Thank Prof. Christopher Brooks and Coursera and the ones who share their problems and ideas in the forum.
Un curso con un gran enfoque para comprender las bases de la data science y empezar a desarrollar la forma de pensar de un científico de los datos, aportando no sólo las herramientas técnicas necesarias sino también éticas y morales para ser profesionales integrales en nombre de las ciencias, la conciencia y la virtud.
The course material was not enough. The assignment questions were good but in order to solve those questions I had to find a lot of things from stack-overflow and the python documentation . This was mentioned there but I still think the material was less according to the assignments.
希望作業題目能有多國語言,英文題意有時很難體會
The accent of the instructor was too fast, which made the content incomprehensible. The course unfolded very rapidly, giving little room for beginners to understand on spot
Very good materials, teacher and structure. Good foundation for other DS / ML courses.
Do you want all the fun sucked out of Data Science! This course's autograder will do it for you!
I had done "Python for Everybody" from Charles Severance which I had found excellent, with the instructor being passionate and the pace being just about right. I had assumed it would be similar for "Introduction to Data Science in Python", but that wasn't case. The delivery of the course is at a very very fast pace, you don't even have time to stop and absorb the functions and methods that you are supposed to learn. The instructor and the research assistant will list the functions and methods one after the other without pausing. The assignment is then extremely hard with no resemblance to the material in the course (I couldn't do it even after having reviewed the videos). After holding on for the first 2 weeks (it's a very useful topic after all), I gave up and decided to learn from the "learning the Pandas library book", which is a very good summary of the main Pandas functions and methods (and which was recommended by Dr Christopher Brooks), and I was able to follow it very easily.

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