Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python

Very good course, although explanations were brief they are a great guide for learning for yourself.

Overall great class, you will nead tons of research outside the class material, but you do learn a lot. P.s. so many learners just copy and paste the final project which is annoying. I was expecting to see some new way to to analyze problem by utilizing new skill that people acquired from this class. Otherwise all good.

Course materials are more than 4 years old. That describes not only the videos but also the age of the various Python libraries that you will be working with. The charting and data visualizations discussed are the really the most basic kind that you might find more easily executed in Excel or Google Sheets. My idea of data science visualizations are not bar charts, scatters, line graphs, and box charts. The age of the course also means that there will be almost no discussion of more contemporary data viz libraries like Seaborn or Plotly or ones I may have never heard of as this course sought to cover the most basic elements of matplotlib. Nothing presented I would say rose to the current professional and academic standards of data visualization.

The course teaches you about important plotting and design skills but the peer reviews and lack of clarity for the assignments makes this class less useful than it could be. In the previous class the discussion forums were an invaluable resource but in this class they are full of spam requests for a peer reviews which makes finding useful information more difficult than it should be.

well structured course.

good

I learned too much in few time. Very organized course, and excellent assignments.

I learned a lot.

Great course!

Fantastic course