Regression Models Courses and Certifications

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

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

Practicing Statistics Interview Questions in Python

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

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

Machine Learning in the Tidyverse

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

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

Statistical Techniques in Tableau

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

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

Generalized Linear Models in Python

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

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

Machine Learning Fundamentals in R

Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

• DataCamp
• 1 day
• Self-Paced
• Free Trial Available

Forecasting Product Demand in R

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

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

Machine Learning Scientist in R

A machine learning scientist researches new approaches and builds machine learning models.

• DataCamp
• 2 days 17 hours
• Self-Paced
• Free Trial Available

Practicing Statistics Interview Questions in R

In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

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

A/B Testing in R

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

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

Analyzing Survey Data in Python

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

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

Welcome to the 3rd course in our series on causal inference concepts and methods created by Duke University with support from eBay, Inc.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the course on Inferential Statistics at Coursera.

• DataCamp
• Self-Paced
• Free Trial Available

Career Certificate

Advanced Python for Data Science Bootcamp

Master advanced Python techniques for data analysis, from lambda functions to web scraping, while building expertise in regression analysis, data visualization, and database integration.

• Noble Desktop
• 30 hours
• Self-Paced
• $1,995.00