Apply R for Business Analytics Projects
About this course
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.
75/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
- validate predictive modeling performance
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