This Specialization equips learners with practical, job-ready skills in predictive analytics and machine learning using R. Beginning with statistical modeling and data visualization, learners progressively build expertise in association rule mining, classification modeling, churn prediction, and customer behavior analytics. Through hands-on, industry-relevant projects in retail, finance, and telecom domains, learners gain experience preparing data, engineering features, training models, and evaluating performance using real-world datasets. By the end of the program, learners will confidently apply R to solve business problems, interpret analytical results, and support data-driven decision-making across multiple industries.
What you'll learn
statistical modeling
data visualization
association rule mining
classification modeling
churn prediction
customer behavior analytics
data preparation
feature engineering
model training
performance evaluation
Course objectives
equip learners with job-ready skills in predictive analytics and machine learning
foster confidence in applying R to solve business problems
support data-driven decision-making across multiple industries