Linear Regression Courses and Certifications

Corporate Finance Institute

Regression Analysis - Fundamentals & Practical Applications

Master linear regression techniques through hands-on practice in Excel and Python, from basic calculations to advanced modeling. Learn to interpret statistical outputs and make data-driven predictions for real business applications.

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

Learn to build, implement, and evaluate linear regression models for predicting future values based on existing data. Gain practical skills in creating and assessing machine learning models.

• Codecademy
• 3 hours
• On-Demand
• Free Trial Available

Python for Linear Regression in Machine Learning

335 ratings at Udemy

Linear and Non-Linear Regression, Lasso Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection | Outliers Removal

• Udemy
• 14 hours 36 minutes
• On-Demand
• Paid Course

Machine Learning Linear Regression Case Study

177 ratings at Udemy

Predicting Boston house price with Linear Regression using scikit-learn !!

• Udemy
• 1 hour 8 minutes
• On-Demand
• Free Online Course

Marketing Attribution and Mix Modeling

132 ratings at LinkedIn Learning

Learn the techniques to accurately measure the impact of your marketing and advertising efforts.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Linear Regression: Absolute Fundamentals

107 ratings at Udemy

Explore COVID-19 positive case prediction with scikit-learn's Linear Regression in Python.

• Udemy
• 2 hours 31 minutes
• On-Demand
• Paid Course

Practical Linear Regression in R for Data Science in R

42 ratings at Udemy

Learn Practical Linear Regression in R - Basics of machine learning, deep learning, statistics & Artificial Intellegence

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course

EDUCBA

Linear Regression & Supervised Learning in Python

14 ratings at Coursera

Master linear regression and supervised learning fundamentals through hands-on Python projects, from data analysis to model evaluation and prediction techniques.

• Coursera
• 5 hours 24 minutes
• On-Demand
• Paid Course

EDUCBA

Linear Regression & Predictive Modeling with SPSS

Master linear regression and predictive modeling using SPSS through hands-on applications in engineering, energy, and finance for data-driven decision-making.

• Coursera
• 7 hours 53 minutes
• On-Demand
• Paid Course

EDUCBA

Linear Regression with R: Build & Optimize

Master linear regression fundamentals and advanced techniques in R, building simple to multiple models, applying dummy variables, and optimizing through backward elimination for real-world data analysis.

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

Great Learning

Linear Regression in Machine Learning - Machine Learning Tutorial

Comprehensive exploration of linear regression in machine learning, covering key concepts, applications, and implementation in Python. Ideal for beginners seeking practical understanding of predictive modeling.

• YouTube
• 2 hours 15 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Diagnostics to Improve Linear Model Fit - OLS Analysis and Residual Plots

Explore techniques to enhance linear model fit through residual analysis, normality checks, and outlier detection in OLS regression.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Machine Learning & AI Foundations: Linear Regression

171 ratings at LinkedIn Learning

Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.

• LinkedIn Learning
• 4 hours 5 minutes
• On-Demand
• Free Trial Available

Simons Institute

Benign Overfitting in Linear Prediction

Explore the phenomenon of benign overfitting in linear prediction, its implications for deep learning, and its impact on adversarial examples in machine learning.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Artem Kirsanov

What Textbooks Don't Tell You About Curve Fitting

Discover the probabilistic interpretation behind linear regression, exploring how least squares objectives arise from maximizing data probability and how different priors lead to various regularization techniques.

• YouTube
• 18 minutes
• On-Demand
• Free Video