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Learn Linear Regression, earn certificates with free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to perform inference using linear models in R, understand population models, create interval estimates, and use key data science packages. Course offered by a renowned university.
Learn how to fit, interpret, and compare linear regression models in Python.
Learn about the difference between simple linear regression and multiple linear regression in R
Learn how to fit and interpret linear regression with a single predictor variable This course is an introduction to linear regression with a single predictor variable and how to implement it using Python. Simple linear regression is the foundation for a…
Learn how to build and interpret linear regression models with more than one predictor variable. This course builds on simple linear regression by working with multiple predictor variables rather than just one. Multiple linear regression is a powerful to…
Learn how to decide which regression model to use. While it is can be easy to make a model, the real science comes in choosing which model best fits your problem, and tuning your model to be just right. This course is an introduction to tools, technique…
Learn regression analysis in a 4-5 hour video series, covering topics from basic concepts to advanced models and assumptions.
Explore linear regression concepts and R programming for analysis in this 3-4 hour video series by MarinStatsLectures, with topics ranging from simple to multiple linear regression, model interpretation, and variable selection.
Dive into General Linear Models with StatisticsMatt's comprehensive playlist. Master random vectors, statistical distributions, quadratic forms, and matrix theory in 4-5 hours.
Master the design of experiments and estimability with this 22-hour online program by statisticsmatt, covering topics like ANOVA, regression, and covariance analysis.
Master linear regression modeling in R, interpret model outputs, and validate assumptions with this 1-2 hour online program by MarinStatsLectures, a resource for UBC students.
Learn Generalized Linear Models with statisticsmatt in a 3-4 hour program. Master concepts like Probit Regression, Logistic Regression, and Poisson Regression.
Dive into linear models with this 17-hour program by statisticsmatt, covering simple and multiple linear regression, weighted least squares regression, and ridge regression.
Learn simple linear regression with jbstatistics in a 1-2 hour program. Understand model parameters, assumptions, residual plots, slope inference, and data transformations.
Dive into linear regression and correlation with Statistics is Fun A.H. Learn through solved examples, covering topics from covariance to Spearman's rank correlation in 2-3 hours.
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