Linear Regression Courses and Certifications

Inference for Linear Regression in R

In this course you'll learn how to perform inference using linear models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Linear and Logistic Regression

Master fundamental regression techniques from simple linear models to logistic classification, analyzing variable relationships and building predictive models using Python.

• Udacity
• 20 hours
• On-Demand
• Paid Course

Linear Regression and Modeling

1785 ratings at Coursera

Explore simple and multiple linear regression models using R. Learn to fit, examine, and utilize regression for analyzing relationships between variables and making predictions.

• Coursera
• 10 hours 33 minutes
• On-Demand
• Paid Course

Data Science: Linear Regression

29 ratings at edX

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

• edX
• 8 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Linear Regression for Business Statistics

1366 ratings at Coursera

Learn to apply linear regression for business forecasting and prediction using Excel, covering model building, hypothesis testing, dummy variables, and advanced techniques.

• Coursera
• 1 day 2 hours 46 minutes
• On-Demand
• Paid Course

R, ggplot, and Simple Linear Regression

3899 ratings at Udemy

Begin to use R and ggplot while learning the basics of linear regression

• Udemy
• 2 hours 14 minutes
• On-Demand
• Free Online Course

Complete Linear Regression Analysis in Python

1565 ratings at Udemy

Linear Regression in Python| Simple Regression, Multiple Regression, Ridge Regression, Lasso and subset selection also

• Udemy
• 7 hours 35 minutes
• On-Demand
• Paid Course

Linear Regression Modeling for Health Data

Explore statistical modeling for health data, covering t-tests, linear regression, and multiple predictors. Gain practical skills through lectures, guided coding, and exercises.

• Coursera
• 13 hours 3 minutes
• On-Demand
• Paid Course

Linear Regression in R for Public Health

529 ratings at Coursera

Aprenda a criar modelos estatísticos em R para analisar fatores que afetam doenças e resultados de saúde, focando em regressão linear e suas aplicações em saúde pública.

• Coursera
• 15 hours 2 minutes
• On-Demand
• Paid Course

Linear Regression and Logistic Regression in Python

569 ratings at Udemy

Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners

• Udemy
• 7 hours 40 minutes
• On-Demand
• Paid Course

Coursera

Linear Regression with Python

438 ratings at Coursera

Implement Linear Regression using Python and Numpy, focusing on practical aspects like optimization algorithms and training processes. Gain hands-on experience in fundamental machine learning concepts.

• Coursera
• 1 hour 45 minutes
• On-Demand
• Paid Course

Linear Regression and Logistic Regression using R Studio

370 ratings at Udemy

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification

• Udemy
• 6 hours 16 minutes
• On-Demand
• Paid Course

Generalized Linear Models and Nonparametric Regression

21 ratings at Coursera

Explore advanced statistical modeling tools including GLMs, nonparametric regression, and GAMs. Learn to apply these techniques for classification, data analysis, and ethical decision-making in data science.

• Coursera
• 1 day 18 hours 4 minutes
• On-Demand
• Paid Course

Coursera

Simple Linear Regression for the Absolute Beginner

67 ratings at Coursera

Learn to predict one variable based on another using simple linear regression, applicable across industries. Gain practical skills for your portfolio and future interviews.

• Coursera
• 2 hours 4 minutes
• On-Demand
• Paid Course

Linear Regression

30 ratings at Coursera

Learn to apply linear regression techniques using R, covering simple and multiple regression, qualitative predictors, and statistical inference for data-driven career applications.

• Coursera
• 1 day 3 hours 3 minutes
• On-Demand
• Paid Course