Hands-on walkthroughs built on the realistic datasets from this site. Each one links the exact data so you can follow along in minutes — and reproduce it later with the same seed.
Load realistic sample sales data, model it with a date table, write DAX measures (revenue, margin %, MoM growth), and design an interactive report.
Run Apriori and association rules with mlxtend on POS baskets that have real product affinities — and interpret support, confidence and lift.
Rebuild MRR from a movement ledger, compute net revenue retention, and build cohort retention curves that actually decay realistically.
Every tutorial uses a free, reproducible dataset. See them all on the sample datasets page, or jump straight to a generator to customize size, seed, and labels.