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Explore OAS Self-Service Analytics

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

3 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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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: Connect to Subject Areas and upload local files to create reusable data sets Cleanse, join, and enrich datasets using no-code Data Flows Build interactive dashboards using data visualisation, Explain, and BI Ask This course is unique because it leverages OAS's AI-driven Explain and natural-language BI Ask features. To succeed, you should have basic spreadsheet skills and familiarity with data concepts such as joins, measures, and dimensions.

Syllabus

Connecting to Subject Areas and Creating Reusable Data Sets
- You will connect Oracle Analytics Server to a governed Finance Subject Area, upload a local Excel budget file, and save both as reusable data sets that will be used in later modules for data preparation and dashboard creation.
Using No-Code Data Flows to Cleanse, Join, and Enrich Data Sets High Level
- You will use the OAS Data Flow canvas to cleanse, join, and enrich the Finance Subject Area and Excel budget data sets, producing a single enriched output data set that will be used in the next module for dashboard creation.
Building Interactive Dashboards with Data Visualization, Explain, and BI Ask
- You will build an interactive OAS dashboard using Data Visualization, run Explain to surface automated profit insights, use BI Ask for natural language querying, and publish the completed dashboard to a shared folder for stakeholder access, ensuring the insights presented are validated, interpretable, and aligned with business context.