About Course
Overview
The Advanced Predictive Modeling in R Certification Training is designed for learners and professionals who want to deepen their expertise in statistical modeling, machine learning, and predictive analytics using R programming. This course goes beyond the basics, focusing on advanced techniques for building, validating, and deploying predictive models in real-world scenarios.
From regression and classification models to ensemble methods, time-series forecasting, and model optimization, this training equips you with the skills needed to solve complex business problems and make data-driven predictions.
Course Details
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Duration: 2–3 months (depending on pace)
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Learning Format: Online / Classroom / Blended
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Certification Body: Institute/University/EdTech Partner
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Tools Covered: R, RStudio, caret, randomForest, xgboost, glmnet, forecast, tidyverse
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Assessment: Quizzes, assignments, case studies, and a capstone project
Course Content
Module 1: Introduction to Predictive Modeling
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Overview of predictive analytics
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R environment and data structures refresher
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Workflow for predictive modeling
Module 2: Data Preparation & Feature Engineering
Module 3: Regression Models
Module 4: Advanced Machine Learning Models in R
Module 5: Ensemble Learning & Model Optimization
Module 6: Time Series Forecasting
Module 7: Model Evaluation & Validation
Student Ratings & Reviews
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