Session 1: Introduction to SPSS
- Overview of SPSS software and its applications
- Installation and setup of SPSS
- Navigating the SPSS interface
Session 2: Importing and Cleaning Data in SPSS
- Importing data from various sources
- Data cleaning and preprocessing techniques
- Handling missing data in SPSS
Session 3: Descriptive Statistics in SPSS
- Calculating measures of central tendency
- Exploring measures of variability
- Generating frequency distributions and histograms
Session 4: Exploratory Data Analysis (EDA)
- Conducting EDA using SPSS
- Visualizing data with charts and graphs
- Identifying patterns and trends in data
Session 5: Inferential Statistics - Part 1
- Introduction to inferential statistics
- Conducting t-tests in SPSS
- Understanding p-values and statistical significance
Session 6: Inferential Statistics - Part 2
- Performing analysis of variance (ANOVA) in SPSS
- Post-hoc tests for multiple comparisons
- Interpreting ANOVA results
Session 7: Correlation Analysis
- Calculating correlation coefficients in SPSS
- Interpreting correlation results
- Identifying relationships between variables
Session 8: Regression Analysis
- Introduction to regression analysis
- Simple linear regression in SPSS
- Interpreting regression coefficients