Ratings and Reviews for Understanding and Visualizing Data with Python

It is a fairly good course for statistics introduction. However, the explanation on how to apply with python libraries is not well-organized. Learners must have a well understanding of numpy, pandas, Matplotlib and Seaborn on their own in advance, because the TAs just read through the code without explaining why in details. The statistics concepts lecturer is very good, but the TA didn't describe python libraries or modules selection and application concept.

From my point of view, this course was very fundamental for learning statistics with python . I have learnt a lot about different statistical model with how to describe by visualizing them. I have also studied uni-variate , multi-variate data analysis and introduced to a practical NHANES model which was implemented on python code to get different visualization of data analysis. Finally also learnt about using sampling distribution , sampling variance and probability and non-probability sample. This course will definitely boost up confidence for statistical analysis with python.

It is a very explanatory course with instructors trained in the subject. The class materials are varied, which allows new technical skills to be developed.

Amazing

Could be more refined.

It is really good course for professional data scientist as mostly explains how to visualize data and graph and make an conclusion out of it.

Very practical and consistent with data we need to work in real events.

Its a Great course, very well explained. Even if you don't have programming knowledge you can learn and grow.

very good

I like this course a lot. Very good lectures and really good assignments. Helped me a lot.