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 for government use
Data Preparation and Management
- Understanding variables and measurement scales
- Data entry, cleaning, and transformation
- Creating and managing databases in SPSS for government applications
Working with Syntax and Automation
- Introduction to SPSS command syntax
- Automating analyses with syntax scripts
- Integrating SPSS with Python and R for government workflows
Descriptive Statistics and Visualization
- Measures of central tendency and dispersion
- Standardization and z-scores
- Creating tables, charts, and interactive visualizations for government reports
Inferential Statistics
- Hypothesis testing and statistical significance
- Correlation and regression analysis
- t-tests, ANOVA, and chi-square tests for government research
Predictive Modeling with SPSS
- Linear and logistic regression models
- Decision trees and classification models
- Time series forecasting and survival analysis for government planning
Advanced Techniques and Applications
- Factor analysis and cluster analysis
- Handling missing values and outliers in government datasets
- Case studies in marketing, health, and social sciences for government insights
Reporting and Sharing Results
- Formatting and customizing SPSS outputs for government presentations
- Exporting results to Word, Excel, and PDF for government documents
- Creating professional reports for decision-making in government agencies
Summary and Next Steps
Requirements
- A basic understanding of statistics and data analysis concepts (e.g., variables, hypotheses, significance)
- Familiarity with Microsoft Excel or similar spreadsheet tools for government use
- 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 for government applications
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.
