This module introduces the foundations of predictive analytics, covering the basics of predictive modeling and essential statistical tools. Learners will explore regression approaches, ANOVA, and control charts while gaining practical exposure to Minitab for data analysis and interpretation.

This module emphasizes the importance of observations in analytics. Learners will examine NAV prices, descriptive statistics, and case-based insights such as customer complaints, health data, and loan applicant results to build real-world analytical perspectives.

This module focuses on hypothesis testing with practical applications of t-tests, ANOVA, and chi-square tests. Learners will understand when to apply different tests and how to interpret results for business and research contexts.

This module explores correlation concepts, implementation, and interpretation. Learners will study correlation basics, use Minitab for analysis, and apply correlation results to financial and real-world datasets for better decision-making.

This module provides a comprehensive study of regression, including basic principles, scatterplots, equations, applications, and advanced insights. Learners will analyze demographic, financial, and scientific datasets to master regression modeling and interpretation.