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Course Outline
Getting Started with SPSS
- Overview of the SPSS interface and functionality
- Working with dialog boxes, the 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 Visualisation
- Measures of central tendency and dispersion
- Standardisation and z-scores
- Creating tables, charts, and interactive visualisations
Inferential Statistics
- Hypothesis testing and statistical significance
- Correlation and regression analysis
- t-tests, ANOVA, and chi-square tests
Predictive Modelling 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 customising 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 essential
Audience
- Analysts
- Researchers
- Scientists
- Anyone interested in gaining practical skills 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.
