Oracle Analytics Fundamentals OAC, OAS & DV Modeling

Learn Oracle Analytics: OAC, OAS, RPD semantic modeling, facts, dimensions, dashboards, and Data Visualization (DV).

What you'll learn

⚡ Understand Oracle Analytics and how OAC and OAS differ between cloud-managed and customer-managed deployments.
⚡ Explain the RPD semantic model and its three layers: Physical, Business Model & Mapping, and Presentation.
⚡ Distinguish facts, dimensions, attributes, and measures, and apply the correct aggregation to avoid wrong totals.
⚡ Design star schemas and define fact grain correctly to build trustworthy, accurate analytics models.
⚡ Create analyses, dashboards, and workbooks, and understand the modern self-service Data Visualization (DV) path.
⚡ Avoid common modeling mistakes and apply Oracle Analytics best practices for clean, reliable semantic models.

Requirements

❗ No prior Oracle Analytics experience needed - this course starts from the very basics.
❗ Basic familiarity with databases and tables is helpful but not required.
❗ Any experience with reporting or Excel is a plus, though not essential.
❗ Access to Oracle Analytics Cloud (OAC) or Oracle Analytics Server (OAS) is optional - concepts are explained so you can follow along without it.

Description

Do you want to understand how organizations turn raw data into trusted business insight using Oracle Analytics? This course is your complete, beginner-friendly starting point.
Oracle Analytics is one of the most widely used enterprise analytics platforms, but for newcomers the concepts can feel overwhelming: OAC, OAS, RPD, semantic layers, facts, dimensions, measures, hierarchies, and now the modern self-service Data Visualization experience. This course breaks all of it down into clear, structured, easy-to-follow lessons with clean diagrams and practical examples.
You will start by understanding what Oracle Analytics is and how it fits together, then explore the difference between Oracle Analytics Cloud (OAC) and Oracle Analytics Server (OAS), and the two ways to build: the classic RPD semantic model and the modern self-service Data Visualization (DV) path.
From there, you will learn the three RPD layers, the difference between facts, dimensions, attributes, and measures, how aggregation works, how to design star schemas, define fact grain, and handle real-world challenges like ragged organization hierarchies. You will also learn how to move from a database all the way to a finished dashboard, avoid common modeling mistakes, and apply proven best practices.
By the end, you will have the confidence and foundation to understand, model, and work with Oracle Analytics correctly. No prior experience required.
This course is taught by an Oracle ACE Pro with real-world enterprise analytics experience. Enroll today and start your Oracle Analytics journey.

Who this course is for

⭐ No prior Oracle Analytics experience needed - this course starts from the basics.
⭐ Basic understanding of databases and tables is helpful but not required.
⭐ Familiarity with basic reporting or Excel concepts is a plus, though not essential.
⭐ Access to Oracle Analytics Cloud (OAC) or Oracle Analytics Server (OAS) if you want to follow along, though the concepts are explained regardless.

Homepage

https://www.udemy.com/course/oracle-analytics-fundamentals

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