I’m currently going through the Data Analysis with Python course here in freecodecamp, I’m precisely doing the Medical Data Visualizer project.
In this project, you are instructed to create two different graphs to visualize some medical data, as the name suggests, using
seaborn, although the latter wasn’t taught in the previous lectures (Which btw, why?) and the former was also passed by quickly (The most in-depth piece of information about plotting I could find was in this notebook, and that notebook itself also wasn’t covered by the lectures but skipped over).
I just wanted to know what good resources on the topic you could recommend, or to see if I’m missing something, because looking around the forums, it seems like people are proceeding with the course more or less without a problem.
I just feel frustrated with the organization of this course. Why is the introduction to python at the end of the first “module”? Why do we talk about
numpy in 2 separate instances? Why are there 3 final projects about plotting if it wasn’t covered previously in the videos?
I don’t want to sound like an entitled brat, in this course I’ve learnt a lot, but it still feels wrong to get at the end of it and encounter this extra hustle to deal with.
Sorry for the rant.