The SAP Predictive Analytics / SAP Analytics Cloud course provides an integrated learning pathway for business analysts, data engineers and decision‑makers to harness the full power of cloud‑based analytics, planning and predictive modelling. Through hands‑on exposure, participants learn how to connect disparate on‑premises and cloud data sources, build rich analytical models, design interactive dashboard “stories”, and apply machine learning‑driven capabilities (such as regression, classification and time‑series forecasting) to uncover hidden patterns, predict future outcomes and drive data‑informed decisions. Emphasis is placed on key pillars of SAC—BI & Story Design, Planning & Scenario Analysis, Predictive Analytics & Smart Insights, and Governance & Administration—so that graduates not only visualize and explore past data, but also model future scenarios and embed insights into strategic workflows. On completion, you’ll be equipped to create engaging dashboards, automate forecasting workflows, implement what‑if analyses and support enterprise planning cycles—with a clear path to the SAP Certified Associate credential.
Module 1: Introduction to SAP Predictive Analytics Overview of SAP Predictive Analytics and SAP Analytics Cloud Importance of predictive analytics in business Key concepts: descriptive, predictive, and prescriptive analytics.
Module 2: Data Preparation & ManagementData extraction, transformation, and loading (ETL) Data cleansing and preprocessing techniques Connecting SAP and non-SAP data sources.
Module 3: Statistical Foundations for Predictive Analytics Descriptive statistics and data distribution Correlation, regression, and hypothesis testing Sampling and data validation techniques.
Module 4: Predictive Modeling Techniques Regression analysis (linear, logistic) Classification (decision trees, random forest, SVM) Clustering (K-Means, hierarchical clustering) Time-series forecasting (ARIMA, exponential smoothing).
Module 5: SAP Analytics Cloud (SAC) for Predictive Insights Creating interactive dashboards and stories Using Smart Insights and Smart Discovery Scenario and what-if analysis.
Module 6: Machine Learning Integration Introduction to machine learning concepts Integrating R and Python with SAP PA Automating model training and evaluation.
Module 7: Advanced Predictive Analytics Features Text analytics and sentiment analysis Predictive scoring and model deployment Handling big data in SAP HANA.
Module 8: Business Use Cases & Applications Finance: forecasting, risk management, and budgeting Supply Chain: demand planning, inventory optimization Marketing & Sales: customer segmentation, churn prediction Operations: predictive maintenance, process optimization.
Module 9: Reporting, Visualization & Storytelling Data visualization best practices Designing reports for stakeholders Creating actionable insights for decision-making.
Module 10: Governance, Automation & Certification Preparation Data governance and compliance in SAP environments Automating predictive analytics workflows Preparation for SAP Predictive Analytics certification.
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