Apply R for Predictive Analytics and Machine Learning
About this course
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.
75/100
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- 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
- 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
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