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
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
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.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
