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Course Outline
Introduction to SPSS
- Overview of SPSS interface and capabilities
- Navigating dialog boxes, data editor, and variable view
- Importing, exporting, and managing datasets
Data Preparation and Management
- Understanding variables and measurement scales
- Data entry, cleaning, and transformation
- Creating and managing databases in SPSS
Working with Syntax and Automation
- Introduction to SPSS command syntax
- Automating analyses via syntax scripts
- Integrating SPSS with Python and R
Descriptive Statistics and Visualization
- Measures of central tendency and dispersion
- Standardization and z-scores
- Generating tables, charts, and interactive visualizations
Inferential Statistics
- Hypothesis testing and statistical significance
- Correlation and regression analysis
- t-tests, ANOVA, and chi-square tests
Predictive Modeling with SPSS
- Linear and logistic regression models
- Decision trees and classification models
- Time series forecasting and survival analysis
Advanced Techniques and Applications
- Factor analysis and cluster analysis
- Handling missing values and outliers
- Case studies in marketing, health, and social sciences
Reporting and Sharing Results
- Formatting and customizing SPSS outputs
- Exporting results to Word, Excel, and PDF
- Creating professional reports for decision-making
Summary and Next Steps
Requirements
- Fundamental knowledge of statistics and data analysis concepts (e.g., variables, hypotheses, significance)
- Experience with Microsoft Excel or comparable spreadsheet applications
- Background in research methods or dataset handling is advantageous but not mandatory
Target Audience
- Analysts
- Researchers
- Scientists
- Individuals seeking practical expertise in SPSS and predictive analytics
14 Hours
Testimonials (3)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The variation with exercise and showing.
