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
• Self-Paced
• Paid Course

Deep Learning Prerequisites: Linear Regression in Python

6813 ratings at Udemy

Data science, machine learning, and artificial intelligence in Python for students and professionals

• Udemy
• 6 hours 21 minutes
• Self-Paced
• 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
• Self-Paced
• Free Trial Available

Deep Learning Foundation : Linear Regression and Statistics

1406 ratings at Udemy

Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning

• Udemy
• 6 hours 45 minutes
• Self-Paced
• Paid Course

Excel Analytics: Linear Regression Analysis in MS Excel

1216 ratings at Udemy

Linear Regression analysis in Excel. Analytics in Excel includes regression analysis, Goal seek and What-if analysis

• Udemy
• 4 hours 3 minutes
• Self-Paced
• Paid Course

EDUCBA

Linear Regression & Predictive Modeling with SPSS

16 ratings at Coursera

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

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
• Self-Paced
• Paid Course

R Programming 101

Multiple Regression Analysis Using R Programming - From Beginning to End

Master multiple regression analysis using R programming, from basic concepts to diagnostic tests and assumption validation for accurate predictive modeling.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

R Programming 101

Multiple Regression - Variable Selection Methods Using R

Master variable selection techniques in R for multiple regression models, including stepwise methods, multicollinearity assessment, and R-squared optimization for precise statistical analysis.

• YouTube
• 11 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• Free Video