Ratings and Reviews for Understanding and Visualizing Data with Python

Well organized material. The Discussion forum was the best one I've experienced in my Coursera education. All my questions were answered within one day. The best statistics class I've taken yet!

Quite easy to pass and the instructor Brady T. West is just awesome

This course is such a great course for beginners in Python like me. It has very helpful reading materials to aid you and great tutorials for Python using Jupyter Notebook. This made me excited to explore Python for statistical analysis in my research works.

Very long videos, even the simplest concept is explained in a slower manner. But this is true for me and a lot might benefit from this pace.

Very well taught and straightforward!

A great course

I love this course, it gives me broaden perspectives. I look forward to take next course!!

There are two main fields of study in this course which forms the foundation for the specialization: statistical theory, and programming with python data analysis packages. I learned so much about statistics and visualization that would have taken months to learn in university, I gained a lot of experience and knowledge from this course. I have a decent background in Jupyter notebook from university yet I still learned many new things and got an excellent chance to practice programming in the python packages. The course offered excellent optional practices and gave us several extremely insightful and educational analysis reports done in JN that were related to the module of the week for us to download. I recommend you have a datacamp subscription to have access to some extra notes regarding programming in the packages particularly Pandas to get the most out of this course by attempting all the optional programming practices.

Basic statistics explanations are good, especially for those uninitiated. Examples that require intuitive understanding of plots are nice, albeit slightly confusing. A lot of material concerning Python is not covered in the course, however. No possibility to download source files and work with them in your own environment. Ambiguous instructions that relate to statistical concepts that are still unknown and lots of materials that require 3rd party explanations. This extends the learning time 4-5 fold. Extremely long weeks with lots of technical and incomplete materials. Breaking things into smaller chunks would have made a world of difference.

Great course. Really gives you a different perspective on the subject