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Oracle Analytics Cloud (OAC)
Master industry-ready skills with practical training, real-world projects, and expert guidance designed to help you build confidence, gain hands-on experience, and accelerate your career growth in today’s competitive tech industry.
Hands-on AI projects with industry-oriented training
Career-focused guidance with certification and placement support
Live Training
Instructor-led Online Training
Interactive live classes with expert trainers, practical learning,
LMS access, and cloud labs.
Live mentor sessions
Dedicated lab access
Weekend batches
Most popular
Self Paced
Recorded Video Training
Learn anytime with premium recorded sessions, downloadable study materials, and flexible access.
Unlimited recordings
LMS access included
Flexible learning
Flexible Access
Enterprise
Corporate Training
Team-oriented learning solutions with LMS integration, reporting, and enterprise support.
Team learning
Progress tracking
Dedicated support
Business Ready
KASHA TRAINING
About The Course
Oracle Analytics Cloud (OAC) is a comprehensive platform that enables enterprises to analyze, visualize, and predict outcomes through advanced analytics and machine learning — all in a secure and scalable cloud environment. As part of the Oracle Cloud Infrastructure (OCI) ecosystem, OAC plays a pivotal role in helping organizations drive intelligent decision-making.
Built on Oracle Cloud Infrastructure (OCI), OAC scales for enterprises while enabling self-service exploration by non-technical users. It evolved from Oracle BI tools, now embedding GenAI like the Oracle Analytics AI Assistant for natural language queries and document analysis.
The OAC training course provides a comprehensive introduction to Oracle’s cloud-based analytics platform, focusing on key features like data collection, preparation, modeling, and visualization. Learners build interactive dashboards, create detailed reports, and utilize advanced analytics and AI-powered tools to generate actionable business insights.
OAC is OBIEE’s cloud-based successor — Oracle ended support for OBIEE, making OAC the recommended migration path for customers still on the legacy platform
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Benefits of Attending Oracle Analytics Cloud Training
- Gain comprehensive knowledge of Oracle Analytics Cloud platform, enabling you to design, build, and deploy powerful analytics solutions in enterprise environments.
- Learn to create interactive dashboards, reports, and data visualizations that help organizations make faster and more informed business decisions.
- Develop expertise in connecting OAC with multiple data sources including Oracle Fusion Cloud, Oracle Autonomous Database, and third-party applications.
- Enhance career opportunities as Oracle Analytics Cloud skills are in high demand across industries such as finance, retail, healthcare, and manufacturing.
- Understand how to leverage OAC’s built-in Artificial Intelligence and Machine Learning capabilities for predictive analytics and smart data insights.
- Learn self-service analytics techniques that empower business users to explore and analyze data independently without relying on IT teams.
- Gain hands-on experience with Oracle Analytics Cloud’s data preparation, data enrichment, and data blending features for accurate and meaningful reporting.
- Prepare for Oracle Analytics Cloud certification exams, strengthening your professional profile and increasing your earning potential.
- Understand how to migrate from Oracle Business Intelligence Enterprise Edition (OBIEE) to OAC, a critical skill for organizations modernizing their analytics platforms.
- Open doors to high-paying roles such as Oracle Analytics Consultant, BI Developer, Data Analyst, and Analytics Solution Architect in leading organizations worldwide.
Key Features of Oracle Analytics Cloud Training
- OAC Architecture & Platform Overview – Comprehensive understanding of Oracle Analytics Cloud architecture, deployment models, and integration with Oracle Cloud Infrastructure (OCI) for scalable analytics solutions.
- Data Visualization & Dashboards – Learn to create rich, interactive dashboards and visualizations using OAC’s drag-and-drop canvas for impactful business storytelling.
- Self-Service Analytics – Master self-service data discovery, ad-hoc reporting, and exploration features that enable business users to derive insights without technical expertise.
- Data Preparation & Enrichment – Hands-on training on data profiling, cleansing, transformation, and enrichment using OAC’s built-in data preparation tools.
- Data Connectivity & Integration – Configure connections to Oracle Fusion Cloud, Autonomous Database, on-premise databases, and third-party sources such as Salesforce and Google Analytics.
- AI & Machine Learning Capabilities – Leverage OAC’s native AI features including Explain, Auto Insights, Sentiment Analysis, and predictive model building for advanced analytics.
- Semantic Modeler & RPD Development – Design and manage semantic data models and repository (RPD) files to create consistent and governed analytical data layers.
- KPI & Scorecard Management – Build and monitor Key Performance Indicators (KPIs), scorecards, and performance metrics aligned with organizational business goals.
- Mobile Analytics – Understand OAC’s mobile-ready capabilities for delivering analytics dashboards and reports on smartphones and tablet devices.
- Security & Governance – Implement row-level security, object-level permissions, and data governance policies to ensure controlled and compliant access to analytical content.
- Migration from OBIEE to OAC – Learn best practices and tools for migrating existing OBIEE reports, dashboards, and RPD models to Oracle Analytics Cloud seamlessly.
- Real-Time Scenarios & Case Studies – Practical hands-on labs and industry-based project exercises to build job-ready Oracle Analytics Cloud skills for enterprise analytics deployments.
Our Programs
Course Curriculum
1. Introduction to Oracle Analytics Cloud (OAC)
Get started with Java architecture. Understand the fundamental differences between JDK, JRE, and JVM, set up your development environment with IntelliJ IDEA, and write your first compilation-ready Java application.
Overview of Business Intelligence and Analytics
Video · 0:00 - 25:00
Introduction to Oracle Analytics Cloud (OAC)
Video · Starts at 1:40
OAC Architecture and Components
Video · Starts at 1:40
2. Getting Started with OAC
Get started with Business Intelligence concepts, OAC architecture, and navigate the cloud analytics environment.
OAC Environment Setup
Video · 5 min
Creating and Managing Projects
Video · 5 min
Understanding Workbooks and Dashboards
Video · 5 min
3. Data Connectivity and Integration
Get started with Business Intelligence concepts, OAC architecture, and navigate the cloud analytics environment.
Connecting to Oracle Databases
Video · 5 min
Connecting to Oracle Autonomous Database
Video · 5 min
Integration with Oracle ERP and Fusion Applications
Video · 5 min
4. Data Modeling and Data Preparation
Get started with Business Intelligence concepts, OAC architecture, and navigate the cloud analytics environment.
Data Sets and Data Models
Video · 5 min
Data Profiling
Video · 5 min
Data Wrangling Techniques
Video · 5 min
5. Data Visualization Fundamentals
Get started with Business Intelligence concepts, OAC architecture, and navigate the cloud analytics environment.
Introduction to Data Visualization
Video · 5 min
Creating Workbooks
Video · 5 min
Charts and Graphs
Video · 5 min
12
Modules
76
Lessons
42h
Total Duration
14
Coding Labs
4
Projects
Our Programs
Feedback from our Participants
Kasha OAC Certification trainer is simply amazing and Fabulous. Covered all the topics which we agreed for and he has vast real time experience and very responsive in the classes, Clarified all the doubts.
Siddharth Deshmukh
Oracle Analytics Cloud (OAC) is a cloud-based business intelligence and analytics platform that helps organizations collect, analyze, visualize, and share data. It enables users to create interactive dashboards, reports, and data visualizations for better decision-making.
Organizations use OAC because it provides self-service analytics, real-time reporting, AI-assisted insights, interactive dashboards, secure cloud access, and integration with multiple data sources. It helps businesses make faster and more informed decisions.
OAC allows business users to analyze data without extensive technical knowledge. Users can create dashboards, generate reports, visualize trends, and explore data using drag-and-drop features.
The main components include Data Connections, Data Preparation, Data Visualization, Dashboards, Reports, Machine Learning features, Natural Language Query, and Mobile Analytics.
Data visualization helps users understand complex data more easily by presenting it in graphical formats such as charts, graphs, and maps. It makes trends, patterns, and business insights easier to identify.
OAC can connect to Oracle databases, Oracle Autonomous Database, Excel files, CSV files, cloud applications, and many third-party databases and services using built-in connectors.
I would optimize the underlying queries, reduce unnecessary visualizations, use filters effectively, improve the data model, limit the amount of data displayed, and ensure the data source is properly indexed and optimized.
I would first understand the business requirements and identify the key performance indicators (KPIs). Then I would connect the required data sources, prepare and clean the data, create meaningful visualizations, design an interactive dashboard with filters and drill-down capabilities, test the dashboard, and finally publish it for users with appropriate security permissions.
Oracle Analytics Cloud (OAC) is a cloud-based business intelligence and analytics platform that helps organizations collect, analyze, visualize, and share data. It enables users to create interactive dashboards, reports, and data visualizations for better decision-making.
Organizations use OAC because it provides self-service analytics, real-time reporting, AI-assisted insights, interactive dashboards, secure cloud access, and integration with multiple data sources. It helps businesses make faster and more informed decisions.
OAC allows business users to analyze data without extensive technical knowledge. Users can create dashboards, generate reports, visualize trends, and explore data using drag-and-drop features.
The main components include Data Connections, Data Preparation, Data Visualization, Dashboards, Reports, Machine Learning features, Natural Language Query, and Mobile Analytics.
Data visualization helps users understand complex data more easily by presenting it in graphical formats such as charts, graphs, and maps. It makes trends, patterns, and business insights easier to identify.
OAC can connect to Oracle databases, Oracle Autonomous Database, Excel files, CSV files, cloud applications, and many third-party databases and services using built-in connectors.
I would optimize the underlying queries, reduce unnecessary visualizations, use filters effectively, improve the data model, limit the amount of data displayed, and ensure the data source is properly indexed and optimized.
I would first understand the business requirements and identify the key performance indicators (KPIs). Then I would connect the required data sources, prepare and clean the data, create meaningful visualizations, design an interactive dashboard with filters and drill-down capabilities, test the dashboard, and finally publish it for users with appropriate security permissions.
Our Programs