Linear Regression Courses and Certifications

Data Science: Linear Regression

25 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 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
• Free Online Course (Audit)

Training Your First Machine Learning Model from Scratch

Master linear regression fundamentals by building a model from scratch using scikit-learn, covering data preparation, training, evaluation, and real-world applications with California housing data.

• CodeSignal
• On-Demand
• Free Certificate

Linear Regression and Modeling

1725 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 18 minutes
• On-Demand
• Free Online Course (Audit)

Linear Regression for Business Statistics

1355 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
• Free Online Course (Audit)

Linear Regression in R for Public Health

506 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
• Free Online Course (Audit)

Generalized Linear Models and Nonparametric Regression

18 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 3 minutes
• On-Demand
• Free Online Course (Audit)

R, ggplot, and Simple Linear Regression

3792 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

1529 ratings at Udemy

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

• Udemy
• 7 hours 34 minutes
• On-Demand
• Paid Course

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 Regression and Logistic Regression in Python

508 ratings at Udemy

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

• Udemy
• 7 hours 39 minutes
• On-Demand
• Paid Course

Linear Regression and Logistic Regression using R Studio

324 ratings at Udemy

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

• Udemy
• 6 hours 14 minutes
• On-Demand
• Paid Course

Building Regression Models with Linear Algebra

Learn to build and apply regression models using linear algebra, including least squares method and Python implementation. Gain practical skills for real-world data analysis and prediction.

• Coursera
• 6 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

The Classical Linear Regression Model

20 ratings at Coursera

Discover econometrics, analyze data, and master regression models. Learn to interpret results, build models, and apply skills to real-world scenarios like estimating the Capital Asset Pricing Model using R.

• Coursera
• 22 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Linear Regression

15 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
• Free Online Course (Audit)