Applied Predictive Analytics with SPSS

Ready to move beyond basic data reporting and start making predictions? This course provides a practical foundation in using SPSS to uncover trends, analyze relationships, and forecast future outcomes from your data. You will gain the skills to prepare datasets for analysis, build powerful predictive models like linear and logistic regression, and confidently interpret the results. By the end, you'll be able to translate raw numbers into meaningful predictions and support your conclusions with solid statistical evidence. What you'll learn: - Understand the core concepts of predictive modeling and navigate the SPSS environment. - Learn to import, clean, and manage datasets to prepare them for effective analysis. - Apply descriptive statistics and correlation analysis to explore key data relationships. - Build and validate linear and multiple regression models to predict continuous outcomes. - Construct logistic regression models for predicting categorical results, such as yes/no decisions. - Practice interpreting model outputs, coefficients, and statistical significance to draw valid conclusions. - Use SPSS syntax basics to document and replicate your analysis for consistent results. The course starts with fundamental statistical terms and an overview of the SPSS interface, then progresses through hands-on written exercises in model building and interpretation. This course is designed for absolute beginners. No prior experience with SPSS or predictive analytics is required to get started. Begin your journey into data-driven forecasting today.