Regression Analysis Courses and Certifications

Regression Models

33 ratings

Fit and interpret regression models: least squares, multivariable regression, residuals and diagnostics, ANOVA and ANCOVA, and generalized linear models including logistic and Poisson regression.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Regression Analysis to Model Diamond Prices

Build regression models that predict diamond prices, compare linear regression with random forests, and visualize actual versus predicted values.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Regression Analysis: Simplify Complex Data Relationships

608 ratings at Coursera

Model variable relationships in Python: build simple and multiple linear regressions, run Chi-squared and one- and two-way ANOVA tests, and construct binomial logistic regression models.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid Course

Regression Analysis

10 ratings at Coursera

Learn regression as supervised learning: fit linear and polynomial models, apply Ridge, Lasso and Elastic Net, run cross-validation, and combine models with bagging, boosting and stacking.

• Coursera
• 6 weeks, 7 hours a week
• Self-Paced
• Paid Course

Packt

Regression Analysis for Statistics & Machine Learning in R

Model data in R with OLS regression, ridge and LASSO for multicollinearity, generalized linear models, polynomial regression, GAMs, regression trees, and random forests.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Regression Analysis Fundamentals

Run regressions in Excel, SPSS, and R: fit ordinary least squares models, check assumptions, handle outliers, and turn coefficients into charts and business decisions.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Introduction to Regression with statsmodels in Python

3026 ratings at DataCamp

Use Python statsmodels For Linear and Logistic Regression Linear regression and logistic regression are two of the most widely used statistical models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

The Analytics Edge

80 ratings

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

• edX
• 13 weeks, 10-15 hours a week
• Self-Paced
• Free Certificate

• Best of All Time

Introduction to Regression in R

1522 ratings at DataCamp

Linear regression and logistic regression are the two most widely used statistical models and act like master keys, unlocking the secrets hidden in datasets.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

IISER Pune;  NPTEL

Regression Analysis

Learn to derive and diagnose linear regression models, address violated assumptions, and extend them with dummy variables, polynomial terms, and generalized linear models.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

Career Certificate

Introduction to Regression Analysis

Work through linear, logistic, Cox and logarithmic regression in Python via case studies — diamond pricing, spam, Titanic — with ChatGPT helping write and assess models.

• Zero To Mastery
• 6 hours
• Self-Paced
• Paid Course

Regression Analysis: Simplify Complex Data Relationships

Build and interpret linear, multiple, and logistic regression models, testing assumptions and uncertainty to answer business questions with Python.

• Google Skills
• 28 hours
• Self-Paced
• Paid Course

Machine Learning Foundations Course – Regression Analysis

Builds machine learning regression skills from foundational concepts through multiple linear regression and hands-on projects.

• freeCodeCamp
• 10 hours
• Self-Paced
• Free Video

Intermediate Regression in R

825 ratings at DataCamp

Linear regression and logistic regression are the two most widely used statistical models and act like master keys, unlocking the secrets hidden in datasets.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Intermediate Regression with statsmodels in Python

596 ratings at DataCamp

Linear regression and logistic regression are the two most widely used statistical models and act like master keys, unlocking the secrets hidden in datasets.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available