Ratings and Reviews for Introduction to Data Science in Python

:-)

good

The course is useful and I learned interesting techniques. It was just a bit too short in my opinion. I also think there could be more examples to show the best practices of using Numpy, SciPy, and Python in data science.

The aim of the course and general guidelines are fine. BUT!!! It s aweful how the explanation s given. Main idea of all videos is: here s a function, here s another one, also you can use this function. Now you 'go girl' try to glue all the puzzles together by yourself. It feels like professor was just rushing to record videos and get back to his work which gives money. Never-the-less i did learn A LOT from this course which i couldnt do by myself since as i said GENERALLY GUIDELINES are OK. PS. The WEEK4 last assignment was the main problem since i had to watch about 6-8 hours of statistics to truly feel and understand VAR, STD, TTEST.

This course is quite systematic and helpful, though all assignments are not easy, but did help me to learn.

challenging but I have learnt a lot

very comprehensive and resourceful course

Great Course

just go for it

I decided to take this course after having a great experience with "Python 3 Programming Specialization". I was expecting the same kind of experience from this course but the lectures are pretty fast. The instructor seems to rush through the lectures and keeps on recommending using StackOverflow for any questions so I finally decided to unenroll myself from this course. I recommend you to install Jupyter notebook, buy "Python for data analysis" by Wes McKinney and follow along with all the book exercises. You will have a way better experience learning data analysis than this course.