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Google Business Intelligence Professional Certificate

4.7(12,000) on Coursera·180K enrolled
Intermediate 180 hours English Professional Certificate
SkillsBusiness intelligenceSQLBigQueryTableauData modellingDashboards

Is this course right for you?

Our take
Google's Business Intelligence certificate is the follow-on step for people who have the analytics basics and want to move into BI properly.

Good for: People with data-analytics basics who want to move into business intelligence.

Skip if: You are completely new to data, or you already work in BI.

It focuses on the BI toolkit — modelling data, building pipelines, and creating dashboards with SQL, BigQuery and Tableau — mapped to what BI and data analysts actually do day to day. You can view much of it by auditing; the certificate runs on a Coursera subscription (about $49 a month), with financial aid available.

The key thing to know is that it isn't a starting point: it assumes you already understand analytics fundamentals, so take a beginner data course first if that's not you. For those ready for it, it's a job-focused, current credential (as of 2026).

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About this course

Google's Business Intelligence Professional Certificate picks up where the Data Analytics certificate ends — covering the BI-specific skills that analysts use to translate data into business decisions: BigQuery for large-scale SQL querying, Tableau for dashboard and visualization design, modeling and warehouse concepts, stakeholder requirement gathering, and pipeline design for automated reporting.

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Instructor

GB
Google BI Teaching Staff
Coursera instructor
180K+ learners3 courses4.7 instructor rating

Developed by Google's BI and data education teams, taught by Google engineers with backgrounds in business intelligence and data warehousing.

Frequently asked questions

This is not a beginner program — it is pitched at an advanced level and assumes real analytics grounding. Google recommends completing the Google Data Analytics certificate (or having equivalent experience) first, because it expects you to already understand data cleaning, SQL, spreadsheets, and visualisation. Arriving without those foundations is the main reason people find it a steep, disorienting jump rather than a smooth next step.

The Data Analytics certificate teaches you to analyse data and answer questions; this Business Intelligence one teaches you to build the systems that deliver data to a whole organisation — designing pipelines, modelling data, and creating dashboards stakeholders rely on. In short, data analytics is about doing the analysis; BI is about engineering the reporting infrastructure around it, which is a more technical, systems-oriented role.

A more technical BI stack: BigQuery and SQL for querying large datasets, some Dataflow and Python for moving and transforming data, and Tableau for building dashboards and visualisations. That lean toward BigQuery and pipelines is what distinguishes it from spreadsheet-first analytics courses, and it reflects the tools a working business-intelligence analyst actually uses day to day.

It is a shorter, three-course program — roughly one to two months depending on pace, around a month at twenty hours a week or two months at ten. It is more compact than the beginner Data Analytics certificate partly because it assumes you already have the foundations, so the time goes into the BI-specific tools and concepts rather than re-teaching basics.

For someone who already has data-analytics fundamentals and wants to move toward business-intelligence or data-engineering-adjacent work, yes — it teaches genuinely more technical, in-demand skills like BigQuery pipelines and dashboarding, and carries Google's recognisable name. It is not a first course, and like any certificate it lands best paired with a portfolio of real BI work you can show, rather than standing alone on a resume.
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