SPSS From Scratch to Advanced Training Course

Overview

This course is designed to equip learners with the ability to independently conduct in-depth data analysis with professional confidence and accuracy. It will be particularly beneficial for those seeking to derive business insights, understand consumer behavior, develop objective plans for new ventures, engage in brand studies, or write scholarly articles for high-impact journals and produce high-quality thesis or project work.

A strong foundation in quantitative data analysis is essential for advancement in both academic and corporate environments. With this in mind, the course has been structured to provide students, researchers, teachers, and corporate professionals with a comprehensive and engaging learning experience using IBM SPSS Statistics. This will enable them to develop robust skills in data analysis that are critical for their professional growth.

What You'll Learn

• Analyze any type of numerical data using SPSS with confidence
• Independently plan and execute your research study and data analysis from the ground up
• Understand and interpret the research design and results presented in high-quality journal articles
• Conduct accurate data analysis and present results in APA format
• Perform data entry and data cleaning in SPSS
• Organize data using SPSS
• Transform data using SPSS
• Conduct descriptive analysis at both sample and population levels using SPSS
• Analyze group differences using t-tests and ANOVA
• Perform linear and multiple regression analysis in SPSS
• Carry out hierarchical and advanced regression analysis in SPSS
• Conduct logistic regression analysis
• Perform exploratory factor analysis (EFA)
• Analyze chi-square tests and measures of association
• Conduct reliability analysis and scale validation using SPSS
• Create graphical representations and advanced data visualizations using SPSS
• Conduct moderation and mediation analysis using the PROCESS Macro in SPSS
• Differentiate between general linear modeling and generalized linear modeling in SPSS
• Perform repeated measures ANOVA
• Conduct correlational analysis in SPSS
• Analyze associations in SPSS
• Perform analysis of covariance (ANCOVA)
• Conduct multivariate analysis of variance (MANOVA)
• Write SPSS programs using Python
• Perform ratio statistics in SPSS
• Conduct TURF analysis in SPSS
• Analyze survival data
• Conduct meta-analysis

Who This Course Is For:

• PhD students and researchers aiming to master SPSS skills and publish in high-impact journals
• Professionals seeking a career in analytics within the corporate sector
• Faculty members looking to enhance their data analysis skills for government and academic research