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:

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

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June 2026
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There are 3 modules in this course
Instructor

Offered by
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Coursera

Coursera

Google Cloud

Knowledge Accelerators
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Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.





