pandas, polars, real datasets, dashboards
100 lessons across 6 modules: pandas + numpy for data work, cleaning & feature engineering, modeling & evaluation, A/B testing & causal inference, production ML pipelines, and deep-learning foundations (backprop, transformers, fine-tuning, MLOps registry + drift).
📋 WHAT YOU'LL LEARN
Why pandas? · Loading a CSV · Selecting columns and rows · Filtering with boolean masks · groupby and aggregate · Missing data (NaN, fillna, dropna) · +10 more
Tip: click any lesson to revisit it. After your first attempt, the “Show example” button reveals the full solution.