It was a very good experience and I liked so much having the opportunity to apply what I was learning in the course in every assignment. The only thing I think is not good enough, is that some of the assignments have results that are difficult to find. You are doing a very good code, it works fine, but then you realize that it isn't what they were looking for because the question wasn't clear. Also, at the quizzes, I found it a little annoying when they asked me for things that weren't explained, like specific functions. I could just search them on google and find out how they work, but I'm not sure whether it is the objective of this course.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
excellent course for data sciencie fundamentals
good
I really enjoyed this course, I got some Pandas and Numpy skills. in particular i liked the way as the professor explain. I understood the concept of data science and this gives the motivation to learn more about data science.
I find the assessments quite though.
Previosuly coding experience is really needed
A very powerful course that gears you up for work through real-world projects. Covers several subjects that become valuable tools for you to perform within the Data Science field.
challenging (y)
Will require a lot of individual research and working through the finicky lab grading system, but it's worth it if you want to learn the basics of python.
The grading software is horrendous, but the quizzes are fantastic. This course requires a ton of research if you do not know python very well.
In the end I did learn a lot. But also I wasted so much time because of all the bugs in the autograder.
This course has the potential to be great.
Very poor material and very poorly prepared assignments
