SPSS

“SPSS turns data into meaningful conclusions.”

Learn SPSS to analyze research and survey data with ease. Develop strong skills in data analysis, statistical testing, visualization, and reporting using SPSS for academic, research, and professional needs.

🎓 SPSS Course Content

🔵 Module 1: Introduction to SPSS

🟢 Overview of SPSS and its applications

🟢 SPSS interface: Data View vs Variable View

🟢 Types of variables and measurement scales

🟣 Module 2: Data Entry & Data Management

🟡 Importing data from Excel and CSV files

🟡 Defining variables, labels, and value labels

🟡 Data coding and recoding

🟡 Handling missing values

🟠 Module 3: Descriptive Statistics

🔵 Frequency tables

🔵 Measures of central tendency

🔵 Measures of dispersion

🔵 Charts and graphical summaries

🔴 Module 4: Data Visualization

🟣 Bar charts, pie charts, and histograms

🟣 Box plots and line charts

🟣 Customizing graphs

🟢 Module 5: Probability Distributions & Normality

🟠 Understanding probability distributions

🟠 Checking normality

🟠 Skewness and kurtosis

🔵 Module 6: Hypothesis Testing

🟠 One-sample t-test

🟠 Independent-samples t-test

🟠 Paired-samples t-test

🟠 Non-parametric tests

🟣 Module 7: Analysis of Variance (ANOVA)

🔵 One-way ANOVA

🔵 Two-way ANOVA

🔵 Post-hoc tests

🟠 Module 8: Correlation & Regression

🟡 Correlation analysis

🟡 Simple linear regression

🟡 Multiple regression

🔴 Module 9: Categorical Data Analysis

🟢 Chi-square tests

🟢 Cross-tabulation analysis

🔵 Module 10: Reliability & Factor Analysis

🔴 Reliability analysis (Cronbach’s Alpha)

🔴 Exploratory factor analysis

🟢 Module 11: Non-Parametric Methods

🟠 Mann–Whitney U test

🟠 Wilcoxon signed-rank test

🟠 Kruskal–Wallis test

🟣 Module 12: Reporting & Interpretation

🟠 Interpreting SPSS output

🟠 Exporting tables and graphs

🟠 Writing statistical results for reports