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

Too little of expounding and too much of searching the net by oneself. Too few examples. It is a self-learning but what's the Course for then? Plus the assignments. I didn't like the peer evaluation idea, just as evaluating the others, because I don't have time for this and that's not what I came for. First - what's the motivation of random viewers to fairly and thoroughly evaluate my work? Plus it's hard to finish the course quicker for this reason, because one has to wait a couple of days to get a grade. That's the reason I resigned from waiting for the assignments evaluations for next weeks assignments and in consequence for the certificate.

CONTENT: The instructor shows some examples of different plots in python (e.g. line, bar, scatter) and some concepts (e.g. histograms or heat maps) but doesn't properly explain anything. Mostly you'll get an example graph with snippets of code only working for that particular example and for the assignment you're "strongly encouraged to use other sources". That's not what you're supposed to get when you're paying for an online course. You should get proper explanations. ASSIGNMENTS: You're basically told to get data from any source you like and then plot some graphs. If you've had some experience with python and got your explanations for plotting from somewhere else, you'll mostly spend more time looking for data to present than for the actual assignment. I don't understand why there's no selection of graphs and data sets to choose from so you can concentrate on programming and properly presenting data rather than wasting your time looking at reddit like recommended by the instructor. ASSIGNMENT GRADING: You’ll have to grade your peers’ assignments with a rubric that’s just not working: you can give points for someone uploading an image/writing a paragraph of text, but you have to either give 0 or 100%, so there’s not way to properly grade partially wrong answers. Example: yes, there is an uploaded image and the student has explained how it follows “Cairo’s principle of beauty”, but it doesn’t follow the principle of beauty. So, how to grade: zero or hundred percent? Likewise, your assignments are graded by your peers, so you’ll usually have at least one or two days to add to each assignment. You should take this into account when opting for the monthly subscription. Additionally, neither you nor your peers are qualified to grade the assignments, because you’re just learning how to curate and present data (if you’re not already a scientist and just want to learn how to do this in Python). DISCUSSION FORUMS: You won’t find answers or discussions in the discussion forum. There are only posts asking to please grade a student’s assignment because it is urgent because the subscription is ending soon (see above). SUMMARY: If you need the certificate for Applied Data Science in Python, you probably must take this course. Otherwise I strongly encourage you to skip it and find other (better) resources to learn plotting in Python.

By doing this course I was able to learn about visualization assignments are of top grade

It's provides both the theory and principles behind great visualizations as well as the practical experience needed to learn to build these visualizations.

This course taught me various stuff in data visualization. The assignments were amazing!!

Awesome course, it is good enough who is already a beginner in matplotlib too as the course is overall of intermediate level.

Great Stuff!

I enjoyed learning about different plotting schemes with matplotlib. The assignments were very information to learn and explore new plotting techniques. The interactive graphics was interesting to know. seaborn is really powerful and elegant viewing schema. I want to use this in my day-to-day work too.

A well-structured and useful course. The lectures were interesting and the programming assignments had a just-right level of difficulty. Good work.

Thanks, nice job, cool course