Predict and Validate Regression Models in R

This course is part of Advanced Survey Design & Statistical Analysis Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Build and validate linear regression models in R, using diagnostics and cross-validation to ensure robust, reliable business predictions.

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Advanced Survey Design & Statistical Analysis Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

This module introduces the fundamentals of predictive modeling with multiple linear regression. You will learn how to formulate, build, and interpret a regression model in R to predict outcomes like housing prices or customer churn. More importantly, you will learn to look beyond surface-level accuracy by generating and analyzing key diagnostic plots to ensure your model is statistically sound and free of common pitfalls such as nonlinearity or heteroscedasticity.

What's included

2 videos2 readings2 assignments

2 videos Total 13 minutes

Beyond Accuracy: The Danger of a "Wrong" Model 7 minutes
Building and Diagnosing a Regression Model in R 7 minutes

2 readings Total 11 minutes

The Anatomy of a Multiple Regression Model 8 minutes
Connecting Your Skills to Your Career 3 minutes

2 assignments Total 35 minutes

Hands-On Learning: Build and Diagnose a Predictive Regression Model 30 minutes
Knowledge Check: Interpreting Model Output and Diagnostics 5 minutes

In this module, you will learn that a model is only useful if its performance is reliable. You will move beyond single-score accuracy to master k-fold cross-validation—a powerful technique for ensuring your model's stability and ensuring that it generalizes to new, unseen data. You will implement this technique in R, analyze the variance in performance across folds, and learn how to confidently report on your model's robustness, a key skill for any data professional.

What's included

2 videos2 readings2 assignments

2 videos Total 13 minutes

The High-Stakes World of Clinical Trials 7 minutes
Implementing 10-Fold Cross-Validation in R 6 minutes

2 readings Total 13 minutes

Understanding K-Fold Cross-Validation 8 minutes
Your Future in Advanced Analytics 5 minutes

2 assignments Total 60 minutes

Predict and Validate Housing Prices 30 minutes
Hands-On Learning: Validate Model Stability with K-Fold Cross-Validation 30 minutes

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LearningMate

230 Courses 14,570 learners

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Predict and Validate Regression Models in R

Predict and Validate Regression Models in R

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

There are 2 modules in this course

Building and Diagnosing Your First Regression Model

What's included

2 videos Total 13 minutes

2 readings Total 11 minutes

2 assignments Total 35 minutes

Validating Model Performance and Stability

What's included

2 videos Total 13 minutes

2 readings Total 13 minutes

2 assignments Total 60 minutes

Earn a career certificate

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Felipe M.

Jennifer J.

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Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

More questions

Predict and Validate Regression Models in R

Predict and Validate Regression Models in R

What you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise

There are 2 modules in this course

Building and Diagnosing Your First Regression Model

What's included

Validating Model Performance and Stability

What's included

Earn a career certificate

Instructor

Offered by

Explore more from Machine Learning

Survey Samples: Size and Methods

Design Smart Surveys with Skip Logic

Govern and Evaluate Research Data Quality

Automate Surveys for Smart Market Insights

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

When will I have access to the lectures and assignments?

What will I get if I subscribe to this Specialization?

Is financial aid available?

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