Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to SPSS
- Overview of the SPSS interface and core functionalities
- Utilizing 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 within SPSS
Working with Syntax and Automation
- Introduction to SPSS command syntax
- Automating analyses using 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
- Foundational knowledge of statistics and data analysis concepts (e.g., variables, hypotheses, significance)
- Familiarity with Microsoft Excel or comparable spreadsheet applications
- Previous experience with research methods or working with datasets is advantageous but not mandatory
Target Audience
- Analysts
- Researchers
- Scientists
- Individuals seeking 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.
