Data Analytics Certification
The Beep Data Analytics certification is aimed squarely at the work analysts do every day: pulling the data, cleaning it, choosing a chart that does not mislead, and answering a business question in a way a stakeholder can act on. The assessment opens with data cleaning and why it exists, then moves through the visualisation choices analysts are quietly judged on — when a pie chart is the right call, and which chart shows the distribution of a single numeric variable.
SQL is tested where it actually bites. You will need to know which clause filters rows after aggregation, and what a left join returns when the right-hand table has no match. Spreadsheet fluency is tested the same way: why experienced analysts reach for INDEX-MATCH instead of VLOOKUP, and which tool the industry defaults to for spreadsheet work.
The business layer is not skipped. Questions cover what a KPI is, the purpose of A/B testing, what a cohort analysis tells you that an aggregate does not, and when the median is a more honest summary than the mean. The whole thing takes about seven minutes, is scored automatically, and the certificate carries a unique ID that anyone can verify.
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What the Data Analytics assessment tests
Data preparation
The purpose of data cleaning and what goes wrong downstream when it is skipped.
SQL fundamentals
Recognising SQL as a query language, the clause that filters rows after aggregation, and exactly what rows a left join returns.
Visualisation choices
Which chart types exist, what a pie chart is appropriate for, and which chart shows the distribution of a single numeric variable.
Descriptive statistics
Mean, median and mode as measures of central tendency, and when the median is the better summary because data is skewed.
Business analytics practice
What KPI stands for, the purpose of A/B testing, what cohort analysis is, common analytics tools and why INDEX-MATCH is often preferred to VLOOKUP.
Who this Data Analytics certification is for
Business analysts, marketing and growth analysts, operations and finance staff who live in spreadsheets, product managers who write their own SQL, and anyone applying for a first analyst role who needs proof they can query and interpret data rather than only chart it. It is also useful for non-analysts whose promotion depends on being trusted with numbers.
What the credential is useful for
- Demonstrate SQL and spreadsheet competence on applications for analyst roles.
- Give an internal manager verifiable evidence before taking on reporting ownership.
- Prepare for analyst interviews, where joins, HAVING and chart selection are common screening questions.
Data Analytics certification FAQs
How much SQL does the Data Analytics assessment require?
Practical reading-level SQL. You should know that SQL is the query language, which clause filters after aggregation, and what a left join returns — no query writing is required.
Is Excel or spreadsheet knowledge tested?
Yes. The assessment includes spreadsheet tooling and lookup functions, including why INDEX-MATCH is often preferred over VLOOKUP.
Does it cover experimentation?
It covers the purpose of A/B testing and cohort analysis at a practitioner level — enough to show you understand why an experiment is run and what a cohort view reveals that a total does not.
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