The rate lectures/assignment is disappointingly low, a lot of time goes only to find data available online and to find questions to answer. In my work I have plenty of opportunity to apply data science and very little knowledge on how to. This course gave me more assignments and not so much tools.
Ratings and Reviews for Applied Plotting, Charting & Data Representation in Python
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Reviews and Ratings
Reviews
Assignments are pretty good, but I would suggest extracting useful info from discussion forum to the assignment page. Sometime assignments really need to be clarified.
Pretty awesome course! it's not a walk in the park, though. If you do love data science, and apply what you learn on the course, with some grit and perseverance, you'll prevail.
I enjoyed this course, but the assignments are taking way more time to finish than recommended as you need to search the web for the different functions and practices.
Knowing about Tufte's principles definitely changes the way I decode and make data visualizations.
And as to matplotlib, knowing what's under the hood takes (some of) the struggle out of my data visualization coding.
Solid, but not as good as Applied Machine Learning.
Week 1 is a little bit theory and boring for me because that doesn't interest me but week 2 and week 4 is amazing. Especially week 4 assignment is too good. Overall the course is worth learning.
Good but I feel not comfortable with peer reviewing...
Thanks to the course instructor and team. It is an excellent learning environment and the effort.
Excellent Course