Ratings and Reviews for Understanding and Visualizing Data with Python

This course gives a solid understanding of core statistical principles, sampling, approach to making inferences, plus some experience with data manipulation using Pandas and data visualization using Matplotlib and Seaborn libraries, as well as some experience with the Numpy library (all in Python)

Excelent

This course is really a general overview. The focus seems to be laying a foundation which I hope we build on in a more technical way in upcoming stats courses.

Lectures are boring and very long it should be more practical ,but yes I've gain certain statistical insights.

Pretty interesting and well paced course.

great course

some of the materials in this course was not very clear but I think there will be more explanation in the upcoming courses in this specialization

I particularly liked the light introduction of new concepts like methods behind confidence intervals and hypothesis tests. These were then well emphasized via numerous Jupyter Notebooks of varying levels of difficulty. Highly recommendable.

I felt pretty good by taking this course. It delves into details of statistics with good hands on python programming. Acts as good foundation course and Will be helpful further gaining knowledge on in depth courses.

Great course to review basic statistical concepts. The added component of python was a practical way to learn python and apply it to real situations.