This Specialization provides a comprehensive, applied approach to business analytics using R across fraud detection, marketing performance analysis, and HR attrition modeling. Learners develop the ability to interpret complex datasets, apply statistical and machine learning techniques, and generate actionable business insights. Through structured, project-based learning, participants explore fraud lifecycle analytics, customer behavior modeling, churn prediction, workforce attrition analysis, and data-driven strategy evaluation. The program emphasizes analytical reasoning, feature selection, predictive modeling, and performance validation, equipping learners with practical skills required for data-driven roles in finance, marketing, HR, and business analytics.
What you'll learn
apply statistical and machine learning techniques using R
interpret complex datasets
model customer behavior and churn prediction
analyze workforce attrition and evaluate data-driven strategies
Course objectives
equip learners with practical skills for data-driven roles
enhance analytical reasoning and feature selection abilities