Free learning pathL0–L4

Business and data analysis

Build the foundations, methods and work samples used in business and data analysis roles.

An entry-level learning direction with educational tasks; check target-role requirements.

Your learning checklist

Required items: 0 / 10 completed or already known

Device storage

Next: Read a role through its responsibilities

Checklist statuses are self-reported; exercise scores are recorded separately. You can reset any item.

L0

Know the role

  1. Translate a role description into three observable learning goals.

L1

Build foundations

  1. Build a sourced calculation table with an independent check.

  2. Describe a distribution and its limits of inference.

  3. Independently: Define the metric, denominator, period and dimensions of a business question.

  4. Independently: Define one row and identify missing, duplicate and unusual records.

L2

Develop core skills

  1. Independently: Practise SELECT, WHERE and GROUP BY and check results by hand.

  2. Independently: Join customers and orders and reconcile row counts and totals.

  3. Independently: Choose a comparison chart and write two observations.

L3

Practise scenarios

  1. Write a sourced analytical paragraph with limitations.

  2. Independently: Distinguish observational comparisons from randomised experiments.

  3. Independently: Document metric definitions, findings, limitations and next steps.

L4

Build a work sample

  1. Submit a work sample with method, results and reflection.

Try a practice set

Calculations and choices receive immediate checks. Review open responses yourself against the rubric. All examples are educational.

1. 5 of 20 users convert. Conversion rate (%)?
2. How do you check user count after joining multiple orders?
3. After the experiments and inference task, state one assumption, one supporting fact and one condition that would change your conclusion.

Business metrics and data analysis report

For this business metrics and data analysis report, bound the problem to one educational scenario. List inputs and assumptions, preserve calculations and distinguish findings from missing evidence.

Define the question, scope and success criteria of this business metrics and data analysis report.

Record data, source links, dates, units and assumptions.

Write reproducible steps with calculations, evidence or a process map.

Separate observations, interpretation and recommendations.

List unknowns, validation steps and conditions that change the conclusion.

Work-sample checklist