Trainer 1203.5: Use of SPSS in Data Analysis Amidst Artificial Intelligence

This course provides a comprehensive understanding of SPSS in the era of Artificial Intelligence, equipping learners with the skills to analyze and interpret data efficiently. Participants will explore AI-powered features in SPSS, including automated data preparation, predictive modeling, and machine learning integration. The course is ideal for researchers, analysts, and statisticians who seek to leverage AI-driven analytics for data-driven decision-making. Practical sessions will enable learners to manage large datasets, perform statistical tests, and visualize results effectively while integrating AI-based automation. Learning Outcomes: 1. To understand the fundamentals of SPSS for statistical analysis. 2. To learn how to import and manage datasets efficiently. 3. To perform descriptive and inferential statistical analyses. 4. To explore AI-powered features in SPSS for data preparation. 5. To apply predictive modeling techniques using machine learning algorithms. 6. To use SPSS syntax for automating repetitive tasks. 7. To generate and interpret statistical outputs and visualizations. 8. To integrate SPSS with AI tools for enhanced analytics. 9. To assess data quality and handle missing values using AI-driven techniques. 10. To apply SPSS in real-world research scenarios and decision-making