Ratings and Reviews for Understanding and Visualizing Data with Python

A lot of thoery. It was a challenge to grasp all of the statistical terms. Not really much of a python or practicum course. I guess that comes later.

Good content but I dont like some assigment/assessment, especially the one asking to write a memorandum, which is totally not related to "Understanding and Visualizing Data with Python"

This excellent course provides a good introduction to methods used to collect data and draw meaningful inferences and to use python for this purpose. The course also shows how to write simple python scripts that, through random simulation, illustrate and test the theory behind the statistical methods. You will find this course much easier if you have a basic understanding of python and numpy (arrays), pandas (dataframes), matplotlib (scatter plots, histograms). and seaborn (histograms, violin plots, box plots). You don't need to be an expert on any of these, just a few tutorials. Then you will be ready to learn a lot about statistics and python from people who know quite a lot about both.

I like the python assessment which solidfy the knowledge I learned.

Good complementary course to any basics statistics course

Wonderful introduction course. Excellent teachers.

Good basic introduction to visualisations for statistics. Very basic python coverage.

A good foundation for Data Science program.

many thanks to the teachers, very good course

An excellent course that helps to grasp the ever elusive central limit theorem and its application to simple random sampling. It provides solid foundation for learning hypothesis testing and statistical inference. Coregulations team. Great work.