Ratings and Reviews for Understanding and Visualizing Data with Python

excelente

i like it , some of the topic in this course was hrad to deal with such as nonprobability sampling but for all course was sucessful , thanks alot

As always, beneficial. That's all.

The course material seemed a bit scattered, possibly because of there being at least five presenters. The material wasn't really that focused on data visualization and veered into esoteric (but interesting) topics like non-probability sampling. The pizza memorandum assignment seemed quite pointless. More work with Python labs would have been my preferrence.

Such a great course to gain insights about plots and visualization.

Great course to dust or learn some basic notions of statistics for students and scientists in the life sciences and medical fields.

Nice.

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.