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Course Outline
Getting Started with SPSS
- Overview of SPSS interface and functionality
- Working with 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 with syntax scripts
- Integrating SPSS with Python and R
Descriptive Statistics and Visualization
- Measures of central tendency and dispersion
- Standardization and z-scores
- Creating 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
- Basic understanding of statistics and data analysis concepts (e.g., variables, hypotheses, significance)
- Familiarity with Microsoft Excel or similar spreadsheet tools
- Prior experience with research methods or working with datasets is beneficial but not required
Audience
- Analysts
- Researchers
- Scientists
- Anyone interested in acquiring practical skills in SPSS and predictive analytics
14 Hours
Testimonials (5)
Difficult topics presented in simple, user-friendly way
Marcin - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
Many examples and exercises related to the topic of the training.
Tomasz - Ministerstwo Zdrowia
Course - Advanced R Programming
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - Road Safety Department
Course - Statistical Analysis using SPSS
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
