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

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Reviews and Ratings

4.5

5493 Ratings from Coursera

Reviews

Very easy to follow and well measured workload.
Great instruction and introduction to matplotlib capabilities, includes opportunity to use your own creativity in the final assign
good lectures and theory. I miss automatic code evaluation and more numpy data transformations. I suck at these and I was hoping this course would have more of the same kind of tasks as the first + plotting. Overall, good class as a starter point for plotting in pandas.
Pretty well structured class, but quite expensive considering very limited lectures and assignments that are mostly "find your own challenge on the internet".
A good course that could be better. I think that this course provided a reasonable introduction to Matplotlib, but the lectures need to go a bit deeper and provide more examples. The course left too much of the work to the student. [For your reference, I have a PhD in Mathematics, taught for several years at a highly selective undergraduate college, and have extensive experience in industry as a Matlab and SAS user.] The homework assignments were substantial, and I enjoyed doing the final assignment which required merging two or more datasets using Pandas and then Matplotlib to plot relationships. The course website provides estimates of the number of hours required to complete the assignments, but these were gross underestimates because so much about Matplotlib was left to the student. I would have preferred a bit more lecture time, more examples, and a few side tutorials on using Jupyter and notebooks (how to download and upload), especially since we were grading the code of our fellow students.
Seemed more introductory, here are the tools - go have fun rather than actually teaching teaching
这个课程作得相当棒, 绝对值得推荐。
I continue to like the way the Prof. Brooks explains the different topics, the selection of the topics themselves and the scientific articles are very enriching. I was previously an HCI researcher and it was a pleasant surprise to find such great art Thanks for sharing them! It was defenetly a challenge for me, learning it all and doing the assignments. At the end, I'm proud, I've learned a lot and l'll definitely share what I've learn so far. Thank you!
The course can be summarized as: "OK, here are some tools that can be used: now read the documentation, Stack Overflow and some papers that we give you links to". Each week there are just few videos. What I expect from a Course are baby steps and clear guidance about good practices. Of course you can learn it all from the Internet - I am taking a Course to get something I will not easily find elsewhere: a good teacher who will guide me through optimal approaches.
Very good course, solid introduction to matplotlib and interesting assignments. I was skeptical about the peer review format at first, but then I embraced it - good choice! I liked how the course built on the foundations of the previous one. To pass the assignments I had to use Python, pandas, matplotlib and other tools combined!

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