Ratings and Reviews for Understanding and Visualizing Data with Python

Recommended!!!

Outstanding instruction and instructors. The passion for the subject is infectious.

Great refresher course for those who have taken courses in statistics previously, or a really good introduction for anyone new to the subject. Also a great introduction to using Python for statistical analysis. Everything is clearly laid out and easy to follow.

The course is pretty technical and there are some gaps in the information that is presented (that will probably be addressed in later courses in the specialization), but it certainly whets one's appetite to learn more about statistics. I also appreciated the opportunities provided to apply the code that was learned and to see some of the theories in action. A worthwhile take overall.

It is a good course to start with python and statistics, the part of sampling distribution I think should improve, personally I don´t like large speeches

Thank you!

A really well organized course with plenty of resources to learn how to analyze and visualize data using the suite of Python packages used in statistical analysis. Loved it.

I don't understand what is the point of the video lectures. The lecturers are just reading the PowerPoint slides. Their focus is not on how to help the students understand the concepts but on how to read the slides as soon as possible without misreading words. The contents are good, but while I was listening to the lectures, I just realized that it would be exactly the same as reading the slides on my own.

An excellent combination of lectures and labs. The material is extremely well taught. The mixture of lecturer styles helps to maintain interest. There is good additional content available for the deep dive topics. I found the content fresh and relevant.

It is a great course to learn statistics. The lectures and teachers are excellent. I think they should change the way they teach Python programming and should use other tools for students to practice, like the tool to learn R (R labs).