What if you could turn a raw Excel budget file into a boardroom-ready dashboard within a few hours – no SQL required? This short course was created to help business intelligence professionals accomplish end-to-end self-service analytics in Oracle Analytics Server. By completing this course, you'll be able to connect governed data (subject areas curated by IT or data teams), enrich it through no-code data flows, and publish interactive dashboards your stakeholders can actually use. By the end of this course, you will be able to:
Explore OAS Self-Service Analytics
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Data prep creates analytical value—joins, cleansing, and calculated fields decide whether dashboards inform decisions or mislead.
AI shifts analysts from chart builders to insight curators—tools like Explain and BI Ask speed discovery, but human judgement remains key.
AI-assisted exploration shifts the analyst's role from chart-builder to insight curator — features like Explain and BI Ask accelerate discovery, but
Reusable data assets compound value—datasets, data flows, and dashboards scale impact far beyond a single report.
Skills you'll gain
- Stakeholder Communications
- Exploratory Data Analysis
- Interactive Data Visualization
- Data Presentation
- Data Visualization
- Data Import/Export
- Data Literacy
- Analytics
- Data Cleansing
- Dashboard Creation
- Data Quality
- Data Synthesis
- Data Analysis
- Data Transformation
- Business Intelligence
- Data Integration
- Data Sharing
- Data Wrangling
Details to know
Shareable certificate
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Recently updated!
June 2026
Taught in English
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There are 3 modules in this course
Instructor
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