Ratings and Reviews for Understanding and Visualizing Data with Python

Nice!

Good introduction to basic statistical methods with an emphasis on working with surveys, and a good introduction to basic statistical techniques with core Python, numpy, matplotlib, seaborn and statsmodels. Instructors and presentations are excellent, very clear. I would give it five stars if it were more interactive, i.e. with more in-video quizzes, and practice quizzes between videos. Also, I wish I had take this course before I did the Applied Data Science with Python specialization, also on Coursera, but, alas, it wasn't available then.

This course still has spelling mistakes in its quizzes, which in a programming focused course are big, and the instructors don't seem interested in fixing them. The result is you have to guess through their mistakes if code is suppose to not work in a quiz because of the error or the error is not supposed to be there in the first place and the code is valid.

Very good course which covers both statistical concepts and python application.

Amazing course!

This course is definitely a beginner level course in both python and stats, but it is very well done, and there is plenty of content.

EXCELLENT CLASS ! GREAT USE OF THEORY AND PRACTICE..THE PROFESSORS , LECTURERS AND TA'S ARE VERY GOOD..THE MATERIAL IS GREAT TO LEARN FROM AND THE PYTHON NOTEBOOKS ARE GREAT TO SEE HOW ONE CAN USE THEM WITH ANY DATA SET..I RECOMMEND STUDENTS TO COPY THE DATA FILES TO THEIR LOCAL FILES SO THAT THEY CAN LEARN FROM IT EVEN AFTER THEY HAVE FINISHED THE CLASS.