Prerequisites
- Familiar with IBM SPSS Statistics (v25 or higher)
- Understanding of statistical methods (e.g., t-tests, ANOVA, regression)
- Experience with SPSS features such as data import, transformation, and output interpretation
- Understanding data types (nominal, ordinal, interval, ratio)
What You Will Learn
- Understand the SPSS Statistics user interface and file types
- Import, organize, and prepare data for analysis
- Define variable properties, labels, and missing values
- Perform descriptive statistical analysis (frequencies, crosstabs, descriptives)
- Transform variables using compute and recode functions
- Visualize data using bar charts, histograms, scatter plots, and pie charts
- Conduct inferential statistical tests including:
- T-tests (Independent, Paired Sample)
- Chi-square Tests
- Correlation Analysis (Pearson, Spearman)
- One-way ANOVA
- Linear Regression Analysis
- Use and interpret SPSS output tables and charts
- Automate analysis using SPSS syntax
- Export results and generate professional reports
Who Can Join This Training
- Data Scientists
- Business Analysts
- Research Scholars
- Students and Graduates
- Healthcare Professionals
- Market Research Professionals
- Data Analysts
- Academic Researchers
- Professionals working with data and statistics
- Beginners interested in IBM SPSS and statistical analysis
