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

Covered a lot of ground, but excellent material.

The video lectures are good but should be more explanation needed. We cannot fully dependent on reading doc..

Really Nice Assignments!

This course is perfect for anyone that wants to learn about matplotlib, statistics, and making trustworthy visualizations as a data scientist.

Programming can be a slog when the right materials are not available or the documentation is sparse. It is for this reason that I choose to take and pay for a course instead of muddling around the documentation alone and pulling my hair out. This course does not remedy that issue. I find the professor likeable and he cares about his subject but I have to say it directly and bluntly: the videos are examples of teaching issues with incomplete treatment of basics before moving onto complexities. There is more than a little word salad to get through in the videos which are more and more frustrating as you re-watch them expecting you might have missed important info needed to complete the assignments. It is frequently the case that you have to dedicate far more time to background research in order to complete exercises than the time commitments quoted here. This course could be so much better with some rethinking on how to emphasise and present key concepts so that we are enabled to start from a solid base instead of wandering half-lost as soon as we begin coding. Maybe a collab with professor Severance could remedy.

It's a good introduction. There is a lot to learn with this subject, and basics are illustrated here.

Very good to learn and applicate python matplotlib methods in 4 weeks. Prepare time to work if you can progress, integrate the knowledge (10 to 20 hours by week increasing if your are not python specialist)

One of the best courses. However, the assignment questions lack clarity. Teaching Staff absent.

Nice

great learning