Data Visualization on Oracle Analytics Cloud (2024) LVC

• SECTION I: Overview and Strategy

Module 1: Oracle Analytics Cloud Overview

• Topics
• Why analytics delivery is becoming more demanding
• Everyone strives to be data-driven
• Becoming transformational through analytics
• Oracle Analytics delivery at each stage
• Analytics route and speed
• Oracle Cloud: From Data to Infrastructure
• Analytics challenges
• Learning Objectives
• Understand the need for modern analytics
• Identify business transformation opportunities with OAC
• Recognize challenges in delivering analytics

Module 2: Oracle Analytics Strategy

• Topics
• Oracle Analytics: Comprehensive Analytics Platform
• Oracle Analytics Cloud & Oracle Analytics Server
• Single Product, Multiple Deployment Options
• Fusion Analytics Warehouse and Extensibility
• Readily available services to advance analytics
• Learning Objectives
• Understand Oracle Analytics product offerings
• Explore deployment options and extensibility
• Recognize available services to enhance analytics
• SECTION II: Data Preparation and Enrichment

Module 3: Data Management and Enrichment

• Topics
• Platform overview and deployment
• Open connectivity, data preparation, and enrichment
• Augmented enrichment and data flows
• Built-in data flow operations and sequences
• Data replication: connections and flows
• Unified search, NLG, graph analytics
• Text analytics and machine learning
• Learning Objectives
• Prepare, enrich, and replicate data in OAC
• Utilize augmented analytics, NLP, and graph analytics

Module 4: Data Discovery and Visualization

• Topics
• Managed Data Discovery
• Mobile analytics
• Collective Intelligence with Day by Day
• Modernizing analytics: Cloud adoption path
• Customer success stories
• Oracle Sales Analytics Transformation
• OAC Data Visualization Overview & Demo
• Data visualization tools, visual grammar, and storytelling
• Maps, data actions, natural language queries, narratives
• Learning Objectives
• Explore OAC visualization capabilities
• Create effective dashboards and interactive visual stories
• Understand map configurations and natural language queries
• SECTION III: Advanced Analytics and Augmented Features

Module 5: Augmented Analytics and Auto Insights

• Topics
• Auto Insights experience and notes
• Pattern brushing, visual grammar
• Creating calculations, filters, and data actions
• OCI Functions in OAC: registration, connection, invocation
• Data Flow, Parameters, Syntax, and Usage
• Learning Objectives
• Leverage Auto Insights and augmented analytics
• Apply calculations, parameters, and advanced visual features

Module 6: Time Series and Scheduling

• Topics
• AGO, TODATE, PERIODROLLING functions
• Time series functions in workbooks and subject areas
• Sharing workbooks via email schedules
• Workbook Email Scheduler setup, bursting, schedule and job history
• Prerequisites: OCI and OAC
• Learning Objectives
• Perform time series analysis in OAC
• Configure automated workbook sharing and scheduling

Module 7: Watchlists and Canvas Properties

• Topics
• Watchlists: creation and management
• Canvas properties, layout options (auto-fit, freeform, grid)
• Brushing and best practices
• Synchronize visualizations and data refresh
• Design layouts for different screens
• Learning Objectives
• Manage watchlists and canvas layouts
• Apply brushing and visualization best practices

Module 8: Vanity URLs and Localization

• Topics
• Setting up Vanity URLs
• Configure security certificates
• Localize user interface: display language and regional formats
• Workbook data format changes with locale
• Learning Objectives
• Configure Vanity URLs for OAC
• Localize interface and data formats for global users
• SECTION IV: Administration and Security

Module 9: OAC Administration and Security

• Topics
• Administer OAC instances using Console (Reference, System, Custom Knowledge)
• Share connections, datasets, workbooks
• Custom aggregation with Grammar Panel and Calculations
• Fine-grain permissions: introduction, roles, benefits
• Business challenge and solution overview
• Learning Objectives
• Manage OAC instances and permissions
• Apply fine-grain security for users and content

Module 10: Oracle Cloud Administration Essentials

• Topics
• OCI fundamentals, IAM, and IDCS
• Prerequisites for OAC instance creation
• Plan OAC service
• OAC instance creation: click-through in OCI console
• Connect and authenticate to OAC
• Architecture overview, authorization, secure access
• Row-level security and presentation service privileges
• Manage content and user privileges
• Learning Objectives
• Administer OAC and OCI services securely
• Implement row-level security and access controls
• SECTION V: Advanced Analytics and Machine Learning

Module 11: Advanced Analytics

• Topics
• Advanced analytics overview and use cases
• Advanced analytics functions in OAC
• Data flow for advanced analytics
• Text analysis and sentiment analysis demo
• Learning Objectives
• Apply advanced analytics in OAC
• Analyze text and create sentiment analysis using data flow

Module 12: Machine Learning

• Topics
• Introduction to ML in OAC
• ML assumptions, prerequisites, and workflows
• Building, training, and inspecting ML models
• Apply/score models and analyze prediction results
• Adding scenarios for analysis
• Register and apply Oracle Database ML models
• Learning Objectives
• Build and deploy ML models within OAC
• Analyze and interpret model predictions
• Apply ML to business use cases
• SECTION VI: Mobile and Modern Data Access

Module 13: Mobile Analytics

• Topics
• Mobile trends and OA landscape
• Mobile web vs OA Mobile vs desktop
• OA Mobile demo
• Oracle Day by Day integration and demo
• Summary: personalized analytics experience
• Learning Objectives
• Access and analyze data via mobile platforms
• Use Oracle Day by Day for actionable insights

Module 14: Summary and Resources

• Topics
• Augmented analytics recap
• Data preparation and intelligent insights
• Modern data visualization recap
• Resources and additional references
• Learning Objectives
• Reinforce key OAC capabilities
• Provide learners with additional resources for practice