What you will be able to show
A reproducible analysis or model with data-quality checks and a decision-focused explanation.
data · Beginner to intermediate
Data, SQL & Applied ML
Turn messy data into a defensible decision using SQL, quality checks, baselines, models, and plain-language explanation.
Learn activelyShort decisions before explanation
Verify independentlyTests, sources, and failure cases
Finish with proofArtifacts another person can inspect
Skills practiced in context
Four-mission proof sprint
Do the work. Keep the evidence.
Check a mission only after the proof exists. Progress stays in this browser and also appears in the Modern Skills catalog.
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01
Start with the decision
Write the decision, metric, grain, and minimum data required before opening a notebook.
Proof: A one-page analysis contract. -
02
Interrogate the data
Check missingness, duplicates, leakage, time boundaries, and surprising distributions.
Proof: A data-quality report with one corrected defect. -
03
Beat a simple baseline
Build the simplest credible query or model before adding complexity.
Proof: Baseline results and a justified improvement. -
04
Explain the decision
State the result, uncertainty, limitation, and recommended next action without model jargon.
Proof: An executive summary plus reproducible code.
0 of 4 proof missions complete
0%
Proof sprint complete
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Primary learning sources
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These external resources are optional benchmarks. Complete the LearnByShorts mission and bring back one useful artifact.