The lifecycle: collection, cleaning, EDA, modeling, validation, and communication (dashboards, docs).
Tooling
Notebooks, SQL, Python, Spark, orchestration, and MLOps stacks.
Data Science and Data
Data Science combines statistics, computing, and domain expertise to extract value from data.
