10 Best + Free Linear Regression Courses with Certificates

Linear regression is considered to be an algorithm that gives us a linear relationship between the two variables (independent and dependent). Linear regression is used to predict the outcome of future events. It is a statistical method that is used in both data science and machine learning for predictive analysis. Here the independent variable is also the predictor or explanatory variable. It remains unchanged as other variables change. But know that the dependent variable changes whenever there are any fluctuations in the independent variable. Below you can find the list of Best + Free Linear Regression Courses with Certificates.

Best + Free Linear Regression Courses with Certificates

Data Analysis – What is Linear Regression?

• • • Franz Buscha via Skill Share
    • 127+ already enrolled!
    • 1.5 Hours of effort required!

In this class, the instructor will give a detailed introduction to Regression in Data Analysis. The instructor will talk about the new methods and techniques in linear regression which can often be a daunting experience.

• The best thing about this class is its focus on explaining and helping learners apply linear regression in data analysis. The class also focuses on the application and interpretation of regression in data analysis.
• This class is for those who wish to understand what regression is and how Ordinary Least Squares (OLS) work.

Linear Regression Data Science by Harvard University

• • • Harvard University via edX
    • 16 Hours of effort required!
    • Study Type: Self-paced

In this engaging class, the instructor will explain how to use R to implement linear regression which is known to be one of the most common statistical modeling approaches in data science.

• The reason why we chose this class is its focus on explaining how to examine the relationships between variables by implementing linear regression in R. You will also learn what confounding is and how it can be detected.
• This class is for those who wish to understand everything there is about linear regression.

Machine Learning & AI Foundations: Linear Regression

• • • Keith McCormick via LinkedIn Learning
    • 50,800+ already enrolled!
    • ★★★★★ (71 Ratings)

In this intermediate-level course, the instructor will disclose the different concepts that are behind the most important linear regression techniques. You will be taught how to use all of them efficiently.

• The best thing about this course is its focus on explaining different concepts using IBM SPSS Statistics. You will be taught how to interpret regression coefficients in detail.
• This course is for those who wish to cover everything about linear regression and understand how to build effective scatter plots.

Getting started with Linear Regression

• • • Bhavuk Chawla via Udemy
    • 1,018+ already enrolled!
    • ★★★★★ (10 Ratings)

This course will help you lay the foundation for machine learning by helping you master linear regression in the best possible manner. Here you will understand all about regression and its key types in detail.

• The reason why we chose this course is its focus on explaining the advantages and disadvantages of linear regression and its types along with pragmatic hands-on experience.
• This course is for all data scientists, machine learning engineers, and data integration engineers.

Linear Regression and Modeling

• • • Duke University via Coursera
    • 89,401+ already enrolled!
    • ★★★★★ (1,642 Ratings)

In this course, the instructor will introduce learners to the simple and multiple linear regression models. You will be taught how these models will allow you to assess the relationship between variables in a data set and a continuous response variable.

• The best thing about this course is its focus on explaining the fundamental theory behind linear regression and how to utilize regression models to examine the relationships between multiple variables.
• This course is for those who wish to develop a good understanding of linear regression and modeling.

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Understanding and Applying Linear Regression

• • • Vitthal Sirinivasan via Pluralsight
    • Study Level: Beginner
    • 04 Hours of effort required!

In this course, the instructor will talk about linear regression and how to apply it. Here you will be taught how to identify patterns in data and test those relationships for statistical soundness.

• The best thing about this course is its focus on explaining simple regression and multiple regressions in detail. You will also explore the use of categorical variables in a step-by-step guide.
• This course is for those who wish to develop a strong understanding of regression in Excel, R, and Python for logistic regression, factor analysis, and more.

Machine Learning Linear Regression Case Study

• • • Goeduhub Technologies via Udemy
    • 4,443+ already enrolled!
    • ★★★★☆ (46 Ratings)

In this course, you will get a detailed introduction to machine learning and the instructor will help you understand all about linear regression from scratch.

• The best thing about this course is its focus on explaining how to create an accurate linear regression model in Python and analyze it visually.
• This course is for those who wish to understand how to interpret and explain machine learning models which are treated as a black-box.

Linear Regression in R for Public Health by Imperial College London

• • • Imperial College London via Coursera
    • 12,659+ already enrolled!
    • ★★★★★ (455 Ratings)

This course will help you understand how to prepare the data and then assess how well the model fits that data.

• The reason why we chose this course is its focus on explaining how to fit a multiple linear regression model with interactions. You will also be taught how to check model assumptions and interpret the output.
• This course is for those who wish to understand the right way to use the linear regression model.

Linear Regression for Business Statistics

• • • RICE University via Coursera
    • 40,465+ already enrolled!
    • ★★★★★ (1,308 Ratings)

In this course, the instructor will introduce learners to the very important tool known as linear regression. Here you will be taught how to apply the different procedures such as dummy variable regressions and interaction effects in detail.

• The reason why we chose this course is its focus on explaining how to transform variables and build regression models and estimate them using Excel.
• This course is for those who wish to learn to make inferences using the estimated model and understand how to use the regression model to make predictions.

Linear Regression with NumPy and Python – Guided Project

• • • Coursera Project Network via Coursera
    • 1.5 Hours of effort required!
    • ★★★★★ (954 Ratings)

This course explains how you can implement the gradient descent algorithm from scratch.

• The reason why we chose this course is its focus on explaining how to perform univariate linear regression with Numpy and Python.
• This course is for those who wish to learn to create data visualizations and plots using Matplotlib.

Related: Best + Free NumPy Courses & Training Classes