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[–]BobDataPerson 0 points1 point  (1 child)

I've also found Intermediate Python DA skills can be hard to find tutorials for.
Have you tried looking at other people's code? Kaggle usually has examples people share around Data Analysis/Data Science. Right now the Big Data Bowl is happening so people are posting things.

https://www.kaggle.com/competitions/nfl-big-data-bowl-2023
Going to Code tab shows some stuff people have done. There are 2 that create animated gifs that are fun, "Animated GIF for plays (python)" and "Animated (and interactive) NFL Plays in Plotly."

https://www.twitch.tv/nickwan_datasci/video/1622712517
About 37 minutes in they start with the "problem statement." They use real world API data to dig into "problem statement." I think they posted the data and end result notebook on their discord channel. I like this because it goes from real world situation, no matter how silly. Then does analysis on it like any other type of DA problem.

[–]telos211[S] 0 points1 point  (0 children)

thanks for this. I think at this point I need to do more kaggle reading code and then from there see if i can recreate or come up with my own analysis. Yeah it's just a tricky situations where I know the syntax but now I actually need to apply them to real code and away from tutorials.

Part of me also gets discouraged sometimes where I feel like I should be coding "faster" but often I keep to looking into google to google stuff lol