Google Business Intelligence Certificate
Take your data analytics skills further and learn how to transform data into actionable insights to inform business decisions. The Google Business Intelligence Certificate programme builds on the foundations of the Google Data Analytics Certificate and helps enhance technical skills, including BigQuery, Tableau, and SQL.
Unlock your career potential
Study at your own pace and complete your certificate in 3-6 months with about 10 hours of flexible study time a week.
Learn from experts who have decades of experience and can share the most up-to-date knowledge.
Build real-world skills through hands-on assessments and projects based on actual on-the-job scenarios.
Frequently asked questions
Enrolling in the Google Business Intelligence Certificate will teach you skills to advance your career to become a business intelligence analyst, business intelligence engineer, or business intelligence developer. Business intelligence professionals know how to ask the right questions; prepare, process, and analyse data for key insights; effectively share their findings with stakeholders; and provide data-informed recommendations for thoughtful action.
You'll learn these job-ready skills in our certificate programme through interactive content (discussion prompts, quizzes, and activities) in under six months, with less than 10 hours of flexible study per week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You'll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
The courses offered in the Google Business Intelligence Certificate are:
- Foundations of Business Intelligence
- The Path to Insights: Data Models and Pipelines
- Decisions, Decisions: Dashboards and Reports
The data analysis tools and platforms included in the certificate curriculum are BigQuery, Tableau, and SQL.
Business intelligence analysts create processes and information channels that transform data into the actionable insights needed to inform business decisions. Some example problems for BI include measuring performance, tracking revenue or spending, and monitoring progress.
Organisations of all kinds need business intelligence professionals to organise, analyse, and report data to inform decision-makers. Business intelligence jobs exist in various industries, from technology to finance to entertainment.
Companies must continually adjust their products, services, tools, and business strategies to meet consumer preferences and demand, and to react to emerging trends. This makes a career as a data analyst an in-demand option with competitive pay.
Data analysts make sense of data and numbers to help organisations make better business decisions. They prepare, process, analyse, and visualise data, discovering patterns and trends and answering key questions along the way. Their work gives the wider team greater context and knowledge to make more informed decisions.
The Google Business Intelligence Certificate was designed and built by subject-matter experts and senior practitioners at Google. This certificate has been created to equip learners with advanced theoretical and practical knowledge in data analysis, as well as real-life problem-solving skills to further your career as a data professional.
In the U.K. the subscription cost is $49 USD2 per month after an initial 7-day trial period at no cost. Google Career Certificates are completely self-paced, and many learners complete their Certificate in three to six months.
In other countries where Google Career Certificates are available, your cost may be lower. To see the exact cost in your local currency, please visit the Coursera page and view the enrollment options.
1Lightcast™ Global Job Postings for available countries in the United Kingdom. (2024: Jan. 1, 2024 - Dec. 31, 2024). US Treasury Reporting Rates of Exchange, USD to GBP, 1 USD = 0.79 GBP (Feb 24, 2025)
2Final pricing is set by Coursera; standard fee of US$49 may vary in local currency. Additional fees may apply. See Coursera Terms of Use for more details.
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