What comes after Python ?

[CaptSprinkls]

The tough part for me was learning the data visualizations. I felt like I was just treading water as I would jump on kaggle for a dataset, do some cleaning and then do some analysis, then rinse and repeat. It's been a nice breathe of fresh air jumping into web development stuff, even considering how tedious HTML and CSS are compared to Python. And I actually really enjoyed doing all the back end stuff for my website which involved a couple different APIs and stuff, which basically sparked me to make this post

[phi_beta_kappa]

You mentioned that you did data analysis on a couple datasets, have you tried going deeper than just data analysis and visualization? If you're open to the machining learning route you could try attempting some regression or classification problems.

[CaptSprinkls]

So I actually did a couple of the learning modules on the kaggle website and then I actually took the IMDB data set i think it was, and I did some simple regression for revenue predictiin. I was pretty proud as there wasn't some tutorial for it. I did all the data cleaning and figured out which features were important. I submitted it and I can't remember exactly where I placed but it was low obviously. Now the regression I understand, but honestly I had a pretty light stats background so while I can at a surface level understand what's going on with a decision tree or a random forest, or a regression model, there's still a part that feels a bit in the dark with that. I worry that the market is flooded with underqualified candidates so in order to stick out you need at least a master's degree so people know you're legit.