SAP Analytics Cloud Course

Lesson 1 • Workspaces and Content Management

Teaches how to create, organize, and share workspaces and folders. Proper content organization is prerequisite to collaborative analytics work.

Lesson 2 • User Roles and Permissions

Explains predefined roles, license types, and access control principles. Understanding roles prevents permission errors throughout the course.

Lesson 3 • Platform Overview and Architecture

Covers SAP Analytics Cloud's cloud-native architecture, deployment model, and core modules. Establishes the structural mental model needed for all subsequent chapters.

Lesson 1 • Creating and Managing Connections

Walks through configuring connections to databases, cloud apps, and flat files. Hands-on configuration skills are required before any model can be built.

Lesson 2 • Hierarchies and Geo Enrichment

Introduces parent-child and level-based hierarchies plus geographic dimension setup. These structures enable drill-down and map-based analysis in stories.

Lesson 3 • Building a Relational Data Model

Covers table joins, relationship types, and schema design within the modeler. A well-structured model ensures accurate aggregations in stories.

Lesson 4 • Data Preparation and Transformation

Teaches column operations, filters, and data type corrections inside the modeler. Clean data at the model layer reduces errors in downstream visualizations.

Lesson 1 • Chart Types and Configuration

Covers bar, line, scatter, waterfall, and variance charts with builder panel options. Matching chart type to data pattern is central to effective communication.

Lesson 2 • Filters, Prompts, and Input Controls

Introduces story filters, page filters, and interactive input controls. Dynamic filtering transforms static reports into self-service analytics tools.

Lesson 3 • Tables, Cross-tabs, and KPI Tiles

Teaches tabular display, cross-tab pivoting, and KPI tile configuration. These components complement charts for detailed and summary-level reporting.

Lesson 4 • Formatting and Story Design

Covers themes, color palettes, fonts, and layout alignment tools. Consistent design improves readability and reinforces organizational branding.

Lesson 1 • Restricted and Exception Aggregation

Covers restricted measures that filter aggregation scope and exception aggregation rules. These techniques solve common variance and ratio reporting challenges.

Lesson 2 • Calculated Measures in Stories

Teaches formula syntax, aggregation functions, and measure referencing within stories. Story-level calculations extend model data without modifying the source model.

Lesson 3 • Cross-Model Calculations and Blending

Teaches data blending across multiple models and cross-model formula references. Blending enables unified KPIs from disparate data sources in one story.

Lesson 4 • Account-Based Modeling Logic

Explains account dimension structure, sign reversal, and financial statement modeling. Account-based models are the standard for financial planning and reporting.

Lesson 1 • Planning Workflows and Collaboration

Introduces task-based workflows, notifications, and approval chains for planning cycles. Structured workflows enforce accountability across distributed planning teams.

Lesson 2 • Data Entry and Input Forms

Covers table-based data entry, input forms, and cell locking in planning stories. Accurate data entry design drives adoption among business planners.

Lesson 3 • Planning Model Fundamentals

Distinguishes planning models from analytic models and explains required dimensions. Planning-specific structure is the prerequisite for all data entry features.

Lesson 4 • Versions and Scenarios

Explains public, private, and category versions and scenario comparison workflows. Version management prevents data conflicts in multi-user planning cycles.

Lesson 1 • Anomaly Detection and Alerts

Configures threshold-based and ML-driven anomaly detection with automated notifications. Proactive alerts shift analytics from reactive reporting to continuous monitoring.

Lesson 2 • Smart Insights and Search to Insight

Introduces natural language query via Search to Insight and automated chart explanations. These features democratize analytics for non-technical business users.

Lesson 3 • Predictive Forecasting Models

Covers time-series forecasting using automated and custom predictive models. Forecasts extend planning horizons and reduce reliance on manual projection methods.

Lesson 4 • Classification and Regression Models

Teaches building classification and regression predictive scenarios within the platform. These models score records and predict continuous outcomes from historical data.

Lesson 1 • Data Access Control

Explains row-level security, data access control lists, and model-level restrictions. Granular data security ensures users see only authorized data subsets.

Lesson 2 • User and Role Management

Teaches creating users, assigning roles, and managing custom roles with scoped permissions. Proper role design enforces least-privilege access across the tenant.

Lesson 3 • Monitoring and Performance Optimization

Introduces usage tracking, query performance analysis, and resource optimization techniques. Ongoing monitoring sustains platform performance as user and data volumes grow.

Lesson 4 • Tenant Administration Essentials

Covers system configuration, feature toggles, and audit log access in the admin console. Administrators must master these controls before managing users or content.

Lesson 1 • Data Export and Embedding

Explains story embedding in portals, export to PDF and spreadsheet, and URL API usage. Embedding extends analytics reach to users outside the native platform.

Lesson 2 • REST API and OData Integration

Teaches using the REST API and OData services to push and pull data programmatically. API integration enables automation and connectivity with non-SAP platforms.

Lesson 3 • Integration with SAP BW and HANA

Configures live connections to SAP BW and SAP HANA for real-time analytics. These integrations unlock existing enterprise data investments without data duplication.

Lesson 4 • Deployment Architecture and Scalability

Reviews multi-tenant architecture, network requirements, and scalability patterns for large deployments. Architectural decisions made here determine long-term platform reliability.