Build the foundations
Practise SQL, spreadsheets and basic statistics with a business dataset.
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Turn clean data into decisions stakeholders can explain.
Practise SQL, spreadsheets and basic statistics with a business dataset.
Define metrics and build a clean model with explicit grain, relationships and date handling.
Create a dashboard with accessible charts, drilldowns and quality checks; reconcile numbers to source.
Present three decisions the analysis supports, including limitations and a concise stakeholder narrative.
Your checklist stays in this page session only. It is a self-check, not a skills assessment.
Pick one credential that matches the technology in your target vacancies. Check prerequisites and prove the skills with a project before booking.
A focused choice for analysts turning business data into models, reports and actionable insights in Power BI.
Before booking: Build reports using Power Query, data modelling and DAX before booking.
A focused choice for analysts using Databricks SQL to turn lakehouse data into business insights.
Before booking: Practise SQL analysis and dashboards in Databricks.
For analysts turning business questions into actionable Tableau insights.
Before booking: Practise the relevant Salesforce product in a hands-on environment before booking.
Review the official source for fees, assessment format, prerequisites and award/renewal requirements. Guidance reviewed 13 September 2026.
Analyse order profitability and returns. Produce a SQL model, metric dictionary and dashboard with three recommendations supported by data.
Use these original practice scenarios to structure your answers. They are not leaked exam questions or an employer’s interview script.
A strong answer covers: Compare definitions, filters, refresh time, joins and grain before deciding which is correct.
A strong answer covers: Clarify the decision, prioritise measures and propose progressive detail.