About Course

Master IBM SPSS Statistics and develop practical skills in statistical analysis, quantitative research, data management, predictive analytics, hypothesis testing, survey data analysis, and business research for evidence-based decision-making. This comprehensive SPSS training programme equips learners with expertise in descriptive statistics, inferential statistics, regression analysis, ANOVA, correlation analysis, multivariate analysis, and data visualization, making it ideal for researchers, students, business analysts, healthcare professionals, and social scientists. Through hands-on analysis of real-world datasets, learners will gain the confidence to interpret complex data, generate professional reports, and support research, academic, and organizational decision-making.

Navigate the SPSS interface and manage data
Clean, transform, and validate data
Apply descriptive statistics and data visualization
Conduct hypothesis testing, T-Tests, and Chi-Square tests
Perform linear and multiple regression, correlation analysis
Apply ANOVA, MANOVA, factor and cluster analysis
Build predictive models and analyze survey data
Apply SPSS to academic, business, and healthcare research
Complete a full statistical research capstone project

Course Content

Module 1: Introduction to IBM SPSS Statistics
• SPSS Interface • Data Entry & Management • Variable Definition • Data Import & Export

Module 2: Data Preparation & Management
• Data Cleaning • Data Transformation • Missing Data Handling • Data Validation

Module 3: Descriptive Statistics
• Frequency Distribution • Measures of Central Tendency • Measures of Dispersion • Data Visualization

Module 4: Inferential Statistics
• Hypothesis Testing • T-Test • Chi-Square Test • Confidence Intervals

Module 5: Regression & Correlation Analysis
• Linear Regression • Multiple Regression • Correlation Analysis • Model Interpretation

Module 6: Advanced Statistical Analysis
• ANOVA • MANOVA • Factor Analysis • Cluster Analysis

Module 7: Predictive Analytics & Reporting
• Predictive Modeling • Survey Analysis • Report Generation • Research Interpretation

Module 8: Research Project & Data Interpretation
• Academic Research • Business Analytics • Healthcare Data Analysis • Policy Research

Module 9: Capstone Project
Conduct a complete statistical research project using IBM SPSS Statistics, from data collection and analysis to interpretation, visualization, and professional report presentation.

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Master SPSS (Statistical Package for the Social Sciences)

About Course

What Will You Learn?

Course Content

Module 1: Introduction to IBM SPSS Statistics
• SPSS Interface • Data Entry & Management • Variable Definition • Data Import & Export

Module 2: Data Preparation & Management
• Data Cleaning • Data Transformation • Missing Data Handling • Data Validation

Module 3: Descriptive Statistics
• Frequency Distribution • Measures of Central Tendency • Measures of Dispersion • Data Visualization

Module 4: Inferential Statistics
• Hypothesis Testing • T-Test • Chi-Square Test • Confidence Intervals

Module 5: Regression & Correlation Analysis
• Linear Regression • Multiple Regression • Correlation Analysis • Model Interpretation

Module 6: Advanced Statistical Analysis
• ANOVA • MANOVA • Factor Analysis • Cluster Analysis

Module 7: Predictive Analytics & Reporting
• Predictive Modeling • Survey Analysis • Report Generation • Research Interpretation

Module 8: Research Project & Data Interpretation
• Academic Research • Business Analytics • Healthcare Data Analysis • Policy Research

Module 9: Capstone Project
Conduct a complete statistical research project using IBM SPSS Statistics, from data collection and analysis to interpretation, visualization, and professional report presentation.

About Course

What Will You Learn?

Course Content

Module 1: Introduction to IBM SPSS Statistics • SPSS Interface • Data Entry & Management • Variable Definition • Data Import & Export

Module 2: Data Preparation & Management • Data Cleaning • Data Transformation • Missing Data Handling • Data Validation

Module 3: Descriptive Statistics • Frequency Distribution • Measures of Central Tendency • Measures of Dispersion • Data Visualization

Module 4: Inferential Statistics • Hypothesis Testing • T-Test • Chi-Square Test • Confidence Intervals

Module 5: Regression & Correlation Analysis • Linear Regression • Multiple Regression • Correlation Analysis • Model Interpretation

Module 6: Advanced Statistical Analysis • ANOVA • MANOVA • Factor Analysis • Cluster Analysis

Module 7: Predictive Analytics & Reporting • Predictive Modeling • Survey Analysis • Report Generation • Research Interpretation

Module 8: Research Project & Data Interpretation • Academic Research • Business Analytics • Healthcare Data Analysis • Policy Research

Module 9: Capstone Project Conduct a complete statistical research project using IBM SPSS Statistics, from data collection and analysis to interpretation, visualization, and professional report presentation.

Student Ratings & Reviews

Module 1: Introduction to IBM SPSS Statistics
• SPSS Interface • Data Entry & Management • Variable Definition • Data Import & Export

Module 2: Data Preparation & Management
• Data Cleaning • Data Transformation • Missing Data Handling • Data Validation

Module 3: Descriptive Statistics
• Frequency Distribution • Measures of Central Tendency • Measures of Dispersion • Data Visualization

Module 4: Inferential Statistics
• Hypothesis Testing • T-Test • Chi-Square Test • Confidence Intervals

Module 5: Regression & Correlation Analysis
• Linear Regression • Multiple Regression • Correlation Analysis • Model Interpretation

Module 6: Advanced Statistical Analysis
• ANOVA • MANOVA • Factor Analysis • Cluster Analysis

Module 7: Predictive Analytics & Reporting
• Predictive Modeling • Survey Analysis • Report Generation • Research Interpretation

Module 8: Research Project & Data Interpretation
• Academic Research • Business Analytics • Healthcare Data Analysis • Policy Research

Module 9: Capstone Project
Conduct a complete statistical research project using IBM SPSS Statistics, from data collection and analysis to interpretation, visualization, and professional report presentation.