Ratings and Reviews for Introduction to Data Science in Python

I am surprised that it was a 4-week course. It could have been condensed to 1 slide stating "Go read a few books and if you're stuck, consult Stackoverflow". I cannot believe the average score that this course got and I mean that literally: I can't believe those are real numbers. There are no course materials, except some crappy unformatted transcripts, the speed is ridiculous and didactically it's a disaster. I now feel sorry for given Andrew Ng's course on Machine Learning only 3 stars, compared to this it should have received 7 stars. PS I have 30 years of experience in teaching data analysis and statistics, both in industry and at university and I have 35 years of programming experience.

The assignment difficulty is much, much greater than the rather basic instruction provided in the lectures. This results in a lot of google searches to figure things out. I feel I could have received an equivalent level of education on my own, by reading books and doing free exercises online. I don't feel there was sufficient value added by the course over independent study.

assignmentds are much harder than d course content.

Good course overall, but more material is required to be learned outside of this class for the required assignments than what is actually taught in the class by a very wide margin

Great Course!! You learn alot about Python for data analytics. It is very hard for someone that is beginning to programming. But there are a lot of recourses on internet that can help you. I recomend this course for all that need learning data manipulation with python.

Excellent Course!

I have to say, the quality of this course is significantly inferior than the previous "Programming to everybody" . Firstly, it has something to do with the language that the lecturer uses to explain the concepts in Python. The language he uses is unnecessarily complicated. The sentences are very long and the words he uses are vague . If you want to explain a relatively complex concept, you need to use simpler and more comprehensible words. You cannot use a complex concept to explain another complex concept. The second thing is about the structure of the course, the insufficient engagement. The lecture is full of contents but only with very less interaction exercises. This will make students lost in the half way. I have to say this is not a pleasant experience even if I'm already very familiar to some other programming languages such as R and C++.

Brief and well-structured material as expected from university class. Self-exploration is a must.

Teaching is great. Questions are too ambiguous sometimes I do not know what is the requirements of the answers. Anyway, I still learned lots from here.

Extremely dissatisfied. Lectures are useless and the instructor didn't put any effort into designing a curriculum. After struggling for days on the second assignment I purchased the recommended text for the class. Week 2 effectively starts at chapter 7 in the book. Instructor needs to replace his absurd amount of face time some slides showing the application and logic behind the methods he is trying to use. Jupiter notebook is a tool designed to make the instructors job easier, doesn't help the student at all. I could go on but this course has drained the energy from me. FYI, half the people that complete (or attempt to to complete) this course don't continue on with the specialization. This should speak volumes.