Querying
Relational thinking and SQL that answers imprecise questions precisely.
06 — Technology area
Data Science
Working with real data: modelling, analysis, pipelines and the communication step that turns numbers into a decision.
- Topics
- 4
- Focus areas
- 4
- Linked paths
- 2
- Format
- Study · Practice · Build
Statistics
Uncertainty, sampling and the methods that get misapplied most often.
Pipelines
Scheduled transformation, data tests and loud failure.
Communication
Visual grammar, narrative and writing the caveats down.
Topics covered
SQLPandasStatisticsVisualisation
Tooling you will use
SQLPythonPandasDuckDBdbtVisualisation libraries
Paths that include this area
Go deeper in Data Science
Pick the path that carries this area from fundamentals through to shipped work.