-------------- Teaching --------------
-------------- Data Analysis (2025/26) --------------
::::::::::::::::::: Intro :::::::::::::::::::
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:::::::::::::::::::1. Structured data :::::::::::::::::::
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:::::::::::::::::::2. DataFrame operations :::::::::::::::::::
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:::::::::::::::::::3. DataFrame operations and relationships between variables :::::::::::::::::::
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:::::::::::::::::::4. Distributions, Missing Values, and Relationships Between Variables :::::::::::::::::::
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:::::::::::::::::::5. Scaling and normalization :::::::::::::::::::
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::::::::::::::::::: Help :::::::::::::::::::
-{HOW TO - Run Jupyter lab}-
-------------- Recommended reading/Links --------------
Wes McKinney - Python for Data Analysis
John Paul Mueller, Luca Massaron - Python for Data Science For Dummies
Jake VanderPlas - Python Data Science Handbook
Azure Microsoft - Mi az az adattudomány?