Apply Advanced Statistical Modeling Using SPSS

Overview

Learners will be able to analyze complex datasets, interpret advanced statistical outputs, and apply predictive modeling techniques using SPSS 2024. By the end of this course, learners will confidently evaluate relationships between variables, build and interpret regression models, and translate statistical results into actionable insights for business and healthcare contexts. This course is designed to take learners beyond basic SPSS usage into advanced analytical thinking. Through real-world case studies—including market analysis, finance, home loans, and healthcare datasets—learners will apply descriptive analytics, correlation analysis, linear and multiple regression, logistic regression, and quadratic regression techniques. Each concept is reinforced with visual diagnostics such as scatter plots and residual analysis to ensure robust interpretation and model validation. What makes this course unique is its strong emphasis on interpretation over computation. Rather than focusing solely on running SPSS commands, the course trains learners to understand why results occur and how to communicate insights effectively. The inclusion of end-to-end data preparation using both Excel and SPSS further ensures learners are industry-ready. This course is ideal for students, analysts, and professionals who want to strengthen their data-driven decision-making skills using SPSS in practical, real-world scenarios.

Syllabus

Advanced Descriptive Analytics & Data Exploration

This module introduces learners to advanced descriptive statistics and data visualization techniques in SPSS, enabling them to summarize, explore, and interpret business and healthcare datasets using numerical and graphical methods.

Correlation Insights & Simple Linear Regression

This module builds analytical depth by exploring scatter plots, correlation insights, and simple linear regression models, focusing on understanding relationships and making predictions using SPSS.

Multiple Regression & Predictive Interpretation

This module advances learners’ skills in multiple regression analysis, focusing on interpreting complex model outputs, evaluating predictor significance, and applying regression insights to healthcare and business scenarios.

Advanced Regression Techniques & Data Preparation

This module equips learners with advanced regression techniques including logistic and quadratic regression, while emphasizing robust data preparation practices using SPSS and Excel to ensure accurate and reliable analysis.