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
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Explore OAS Self-Service Analytics
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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
- Exploratory Data Analysis
- Dashboard Creation
- Data Quality
- Interactive Data Visualization
- Data Presentation
- Data Visualization
- Data Literacy
- Data Analysis
- Data Integration
- Stakeholder Communications
- Business Intelligence
- Data Cleansing
- Data Import/Export
- Analytics
- Data Synthesis
- Data Transformation
- Data Sharing
- Data Wrangling
Details to know

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June 2026
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There are 3 modules in this course
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