An exhaustive book, free and available online, on publishing workflow.
Getting, preparing, cleaning data. Exploratory analysis and modelling with regression. Creating reproducible documents with quarto. Seems really nice and good to delve into for data analysis.
Statistical inferrence, various python plot types and Correlation vs causation explained in a series of blog-posts. Very beginner-friendly with drawings etc
Statistics concepts explained (and tried to do so in plain english). That means some nuance will be lost but might get you to understand results quicker.
List of resources to delve deeper into data science and/or data engineering. Very interesting suggestions and enough overlap that it's not just a 'random list'
Various statistics courses hosted for free