Predictive Analytics: Apply, Analyze & Interpret

Overview

By completing this course, learners will be able to apply predictive modeling, perform hypothesis testing, analyze correlations, and build regression models to interpret complex datasets. They will gain skills in statistical tools such as ANOVA, chi-square, t-tests, and control charts while learning to implement and interpret outputs using Minitab and Excel. The course equips learners with the ability to identify patterns, evaluate case-based insights, and apply statistical reasoning to real-world data such as customer complaints, loan applicants, health indicators, and financial performance metrics. Through structured modules, learners will progress from foundational concepts in predictive analytics to advanced regression techniques for decision-making. What makes this course unique is its strong emphasis on practical application and interpretation. Each module combines theory with real-world examples, ensuring learners can translate statistical outputs into actionable insights. By the end, learners will not only understand statistical models but also apply them effectively in business, finance, and research settings.

Syllabus

Introduction to Predictive Analytics

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.

Data Observations and Results

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.

Hypothesis Testing Applications

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.

Correlation Analysis

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.

Regression Foundations

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.