Regression Models Courses and Certifications

Artificial Intelligence (AI) Concepts in Python

16 ratings at DataCamp

Learn the fundamentals behind AI and Machine Learning.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistical Techniques in Tableau

17 ratings at DataCamp

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

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning in the Tidyverse

13 ratings at DataCamp

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

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• DataCamp
• 4 hours
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Trial Available

Introduction to Regression Models by Using R and Tidymodels

Explore regression models using R and tidymodels to predict numeric values. Learn when to use regression, train models, and evaluate performance through hands-on bike rental prediction.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Free Video

Generalized Linear Models and Nonparametric Regression

21 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 4 minutes
• On-Demand
• Paid Course

Coursera

Building Statistical Models in R: Linear Regression

20 ratings at Coursera

Learn to build and interpret linear regression models in R, from data exploration to multiple regression, with hands-on practice in model assessment and diagnostics.

• Coursera
• 2 hours 20 minutes
• On-Demand
• Paid Course

EDUCBA

SPSS: Apply & Interpret Logistic Regression Models

13 ratings at Coursera

Master logistic regression in SPSS through hands-on analysis of real datasets like heart pulse and smoking behavior, building predictive models and interpreting statistical outputs.

• Coursera
• 4 hours 59 minutes
• On-Demand
• Paid Course

EDUCBA

Regression & Logistic Models in Excel & Minitab

Master advanced regression techniques and logistic modeling using Excel & Minitab for real-world business applications and predictive analytics.

• Coursera
• 12 hours 9 minutes
• On-Demand
• Paid Course

Coursera

Regression: Identify Assumptions & Apply Models

Master regression model validation through hands-on practice with OLS assumptions, residual analysis, and diagnostic interpretation in RStudio for trustworthy results.

• Coursera
• 2 hours 1 minute
• On-Demand
• Paid Course

EDUCBA

Logistic Regression with SAS: Build & Evaluate Models

Master logistic regression in SAS through hands-on model building, feature engineering, and performance evaluation for real-world classification problems.

• Coursera
• 8 hours 38 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze Advanced Data Using Minitab Regression Models

Master advanced statistical modeling with Minitab through hands-on regression analysis, decision trees, and real-world business applications for data-driven insights.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Paid Course

Probability and Statistics for Business and Data Science

7976 ratings at Udemy

Learn how to apply probability and statistics to real data science and business applications!

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