Introduction to SPSS:

• Overview of SPSS software and its capabilities
•  Understanding the SPSS interface and navigation
•  Importing and managing data in SPSS

Data Preparation and Cleaning:

• Data entry and validation techniques
• Cleaning and transforming data for analysis
• Handling missing data and outliers

Descriptive Statistics:

• Calculating measures of central tendency and variability
• Exploring frequency distributions and cross-tabulations
• Generating descriptive statistics and charts

Inferential Statistics:

• Conducting hypothesis tests and interpreting results
• Performing t-tests, ANOVA, and chi-square tests
• Understanding correlation and regression analysis

Data Visualization:

• Creating charts and graphs to represent data visually
• Customizing visualizations in SPSS
• Presenting data effectively using SPSS output

Advanced Data Analysis Techniques:

• Factor analysis and principal component analysis
• Cluster analysis and segmentation
• Multivariate analysis techniques (e.g., MANOVA)

SPSS Syntax and Automation:

• Introduction to SPSS syntax
• Automating data analysis processes using syntax
• Saving and reusing syntax files for efficient analysis

Reporting and Interpretation:

• Interpreting and communicating statistical findings
• Creating professional reports with SPSS output
• Presenting data analysis results effectively