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Predict and Validate Regression Models in R

This course is your entry point into the world of predictive analytics with R. Designed for aspiring data analysts and business professionals, this course empowers you to build and interpret multiple linear regression models from the ground up. You will move beyond simply running code and learn to critically evaluate your model's performance. Through a series of hands-on learnings and real-world case studies, you will master the techniques to diagnose your model's statistical assumptions using residual plots and assess its reliability with k-fold cross-validation. By the end of this course, you won't just build models—you'll build models you can trust. You'll leave with a validated, portfolio-ready project and the confidence to generate dependable forecasts that drive strategic business decisions.
Duration 3 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $151
Total Est. Investment $151

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Predict and Validate Regression Models in R program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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