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
Next: Read a role through its responsibilities
Checklist statuses are self-reported; exercise scores are recorded separately. You can reset any item.
Know the role
Translate a role description into three observable learning goals.
Build foundations
Build a sourced calculation table with an independent check.
Describe a distribution and its limits of inference.
- Analysis questions and metricsRequired
Independently: Define the metric, denominator, period and dimensions of a business question.
- Data grain and cleaningRequired
Independently: Define one row and identify missing, duplicate and unusual records.
Develop core skills
- SQL filtering and aggregationRequired
Independently: Practise SELECT, WHERE and GROUP BY and check results by hand.
- Joins and row multiplicationRequired
Independently: Join customers and orders and reconcile row counts and totals.
- Charts and interpretationRequired
Independently: Choose a comparison chart and write two observations.
Practise scenarios
- Research, citation and argumentRequired
Write a sourced analytical paragraph with limitations.
- Experiments and inferenceRequired
Independently: Distinguish observational comparisons from randomised experiments.
- Recommendations and validationOptional
Independently: Document metric definitions, findings, limitations and next steps.
Build a work sample
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.
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.