Structured learning aligned to Oracle Analytics Cloud Professional Certification standards
Advanced querying, performance tuning, and analytics skills
Hands-on labs, case studies, and 5 mock tests
Certification-aligned outcomes, improving job market demand
Expert instructors holding recognised industry credentials
What you will master with us
Upcoming sessions
What is Oracle Analytics Cloud (OAC), editions & use cases
OAC architecture and deployment options
Platform navigation and work‑area overview
Understanding the data lifecycle in Oracle Analytics
Connecting to diverse data sources (on‑premise, cloud, SQL/CSV files)
Data ingestion strategies & best practices
Managing data connection credentials and security
Scheduling data refresh & data flow overview
Self‑service data preparation
Joining, blending, and cleansing data
Creating hierarchies, calculated fields & derived attributes
Best practices for analytics‑ready datasets
Visualisation best practices & chart types
Building interactive reports and dashboards
Visual storytelling for insights
Filters, prompts, calculations & drilldowns
Auto‑insights & Explain feature
Predictive modelling basics in OAC
Integrating machine learning into analytics workflows
Using natural language search for data exploration
Designing pixel‑perfect reports
BI Publisher integration
Scheduling and distributing reports
Formatting & multi‑language reporting
User, role & security management
Content governance & workspace management
Audit logging & permissions
Best practices for secure analytics deployment
Tips for optimizing dashboard performance
Monitoring usage & diagnostic logs
Troubleshooting slow queries or data load issues
Data governance & audit control frameworks
Integrating OAC with external systems (ERP, CRM, Data Lake)
API usage & embedding analytics into apps
Continuous integration/analytics automation
Best practices for enterprise adoption
Upon finishing the course, you will be able to:
1
Gain clarity on Oracle Analytics Cloud architecture and deployment models
2
Develop analytics-ready datasets using ingestion and blending techniques
3
Design dashboards with augmented analytics and machine learning features
4
Create high-quality reports using BI Publisher tools
5
Manage security controls, performance optimisation, and governance standards
Overall ratings by our students
Oracle Analytics Cloud Professional Certification in Dubai is a 3-day program designed to build practical expertise in cloud-based analytics. This covers the full analytics lifecycle, from data ingestion and preparation to dashboards, augmented analytics, reporting, security, and performance management. The course follows official Oracle certification objectives and emphasises applied, practical usage across real analytics scenarios.
Learners Point focuses on building practical analytics capabilities that align with real business requirements. The training is delivered by experienced instructors, supported with hands-on labs, structured case studies, and multiple mock tests to ensure practical understanding. The course structure, delivery quality, and assessment approach help professionals learn with clarity and confidence while preparing for advanced analytics roles.
Professionals engage with multiple applied learning components throughout the Oracle Analytics Cloud Training, such as:
This course helps professionals to improve end-to-end analytics skills beyond daily usage. This includes data preparation, governance, performance, and advanced features that are often not fully explored in routine work. It also provides structured exposure to platform capabilities that support scalable and well-managed analytics solutions.
Copilot provides practical insights to enhance system efficiency by:
Professionals work on multiple reporting styles during the training, such as:
The training covers role management, access control, audit logging, and workspace governance. These areas are essential for maintaining secure and well-managed analytics environments. They also support data security, compliance requirements, and consistent reporting practices across teams.
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