Course Overview
Overview
SAP Predictive Analytics 2.2 provides professionals with the knowledge and skills to analyze data and build predictive models that support data-driven decision-making. The course introduces predictive analytics concepts and demonstrates how to use SAP Predictive Analytics to discover patterns, forecast trends, and generate insights from large datasets. Participants will learn how to prepare data, create predictive models, and interpret analytical results to improve business strategies and operational performance.
Who Should Attend
This course is suitable for:
- Data analysts and business analysts
- Business intelligence professionals
- Data scientists and analytics practitioners
- IT professionals working with enterprise data systems
Prerequisites
- Basic knowledge of data analysis and statistics
- Familiarity with databases and data structures
- Basic understanding of business intelligence concepts
- Experience with spreadsheet tools or analytics platforms is beneficial but not required
Course Objectives
By the end of this course, participants will be able to:
- Understand the fundamentals of predictive analytics and data mining
- Use SAP Predictive Analytics to prepare and explore data
- Build predictive models using statistical and machine learning techniques
- Interpret predictive results and generate business insights
- Evaluate model accuracy and performance
Course Outline
- Introduction to Predictive Analytics
- Data Preparation and Exploration
- Predictive Modeling Techniques
- Model Building and Evaluation
- Advanced Analytics Techniques
- Deploying Predictive Models
- Best Practices and Use Cases
