Ratings and Reviews for Introduction to Data Science in Python

Great Course

The videos maybe fast, but the assignments are really good. Passing the assignment involves doing a lot of research and data cleaning which really makes one familiar with all the numpy and pandas library. At the end, one gets very comfortable with Pandas dataframes.

Excellent course

The rating 4/5 is for the assignments complexity . It requires the learner to work through the logic in pandas and self learn through the errors . This is the new way to learn w/o any spoon feeding . I reduced the rating to 4 and not 5 , beacuse I feel more content could have been given taught by the professors or leave a good piece of advice to the learners. 5/5 for Forum support by teaching staff.

Great course!!!! The explanations and lectures are really helpful and the forum discussions are interesting, but the main feature is certainly the assignments, really challenging but at the same time a real learning experience!

The course has a high level which is fine. The bad part is that most the knowledge you require to complete the assignments is not available in the content of the videos and you have to spend quite some time on internet. It took me way more time than the hours they say to complete the course.

Very good course with excellent exercises.

The pacing for the course is horrendous, this class quickly becomes impossible to do without looking up answers as the lectures do not help at all

The course has indeed taken place over much of what can be considered introductory in data science. However, there is nothing introductory about python, which may bother a more novice student, and the second week of the curos is much more challenging than the others. I believe it is possible to build this same course in 5 weeks to teach more about python and reduce the difficulty of the second week without compromising depth and quality.

cool ex