SAP Analytics (SAC & Datasphere) — Study Course

The official preparation course for the SAP Analytics (SAC & Datasphere) certification: structured modules, worked examples and exam-focused practice.

Key facts

• Course price: $195 (one-time payment)
• Field: SAP & Enterprise Software
• Prepares for: SAP Analytics (SAC & Datasphere)
• 7 modules · 21 lessons · about 6 hours of lessons
• Self-paced, online, illustrated lessons

Course outline

1. SAP Analytics Landscape & Architecture — Understand the SAP analytics portfolio, where SAC and Datasphere fit, and how they connect to S/4HANA and the broader BTP ecosystem.
   • The SAP Analytics Portfolio
   • Connectivity: Live Connections vs. Imported Data
   • Tenants, Users, and Administration Basics
2. Data Modeling in SAC and Datasphere — Master the data modeling capabilities in both SAC (for imported datasets) and Datasphere (for governed enterprise models), including dimensions, measures, hierarchies, and calculated columns.
   • SAC Data Models: Dimensions, Measures, and Hierarchies
   • Datasphere: Views, Business Entities, and the Semantic Layer
   • Data Integration: Replication and Transformation Flows
   • Calculated Columns, Restricted Measures, and Currency Conversion
3. Building Stories and Dashboards in SAC — Learn to design effective SAC stories using chart types, filters, linked analysis, and responsive page layouts — the core BI authoring skills.
   • Story Structure: Pages, Sections, and Canvas vs. Responsive
   • Chart Types, Tables, and Visualization Best Practices
   • Filters, Input Controls, and Linked Analysis
4. SAP Analytics Cloud Planning — Cover the full SAC planning cycle: planning models, version management, data actions, predictive planning, and collaborative process management.
   • Planning Models, Versions, and Categories
   • Data Actions: Allocations, Distributions, and Formulas
   • Collaborative Planning: Processes, Tasks, and Approval Workflows
5. Predictive Analytics and Smart Features — Explore SAC's built-in predictive and AI-assisted capabilities, including Smart Predict, forecasting, anomaly detection, and Search to Insight.
   • Smart Predict: Classification, Regression, and Time Series
   • Smart Discovery, Anomaly Detection, and Search to Insight
6. Analytics on S/4HANA: Embedded and Connected — Understand the analytics layer over SAP S/4HANA, including CDS-based embedded analytics, Virtual Data Models, and the integration patterns between SAC/Datasphere and S/4HANA.
   • S/4HANA Embedded Analytics: CDS Views and VDM
   • SAC Live Connection to S/4HANA and Datasphere Integration
   • SAP Business Warehouse (BW) and BW/4HANA Integration
7. Exam Readiness: SAP Analytics Cloud & Datasphere — Consolidate key concepts, review the exam structure, and apply proven strategies to maximize performance on the SAP Analytics Cloud professional certification.
   • Key Concepts Recap: Architecture, Modeling, and Planning
   • Exam Structure, Question Types, and Strategy
   • Practice Scenarios and Common Exam Traps