Multiple Linear Regression Courses and Certifications

NPTEL-NOC IITM

Multiple Linear Regression: Model Building and Selection

Build and select multiple linear regression models through data loading, visualization, and iterative model refinement using R.

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

NPTEL-NOC IITM

Multiple Linear Regression

Explore multiple linear regression techniques for analyzing relationships between multiple variables and predicting outcomes in statistical modeling.

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

NPTEL-NOC IITM

Multiple Linear Regression Model and Application of F Statistics - Part 5

Explore multiple linear regression models and apply F statistics in advanced statistical analysis. Enhance your understanding of complex data relationships and hypothesis testing.

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

NPTEL-NOC IITM

Multiple Linear Regression Model and Application of F Statistics - Part 2

Explore advanced concepts of multiple linear regression and F-statistics, enhancing statistical analysis skills for complex data modeling.

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

Codeynamics

Multiple Linear Regression with Scikit-learn in Python - Supervised Machine Learning

Master multiple linear regression techniques in Python using scikit-learn, from data preprocessing to model evaluation and prediction implementation.

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

Build and interpret predictive models using multiple variables in Python. Learn to create, analyze, and communicate findings from multiple linear regression models for data science applications.

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

Regression Analysis – Fundamentals & Practical Applications

89 ratings at Corporate Finance Institute

Explore the Essentials of Linear Regression: Building and Applying Models in Excel and Python for Real-World Data Analysis Delve into the core principles of linear regression analysis and its significance in understanding variable relationships

• Corporate Finance Institute
• 2 hours 29 minutes
• On-Demand
• Paid Course

Forecasting Techniques

6 ratings at Corporate Finance Institute

Improve your forecasting skills with our Forecasting Techniques course

• Corporate Finance Institute
• 49 minutes
• On-Demand
• Paid Course

Linear and Logistic Regression

Master fundamental regression techniques from simple linear models to logistic classification, analyzing variable relationships and building predictive models using Python.

• Udacity
• 20 hours
• On-Demand
• Paid Course

NPTEL-NOC IITM

Least Squares Method for Simple and Multiple Linear Regression

Explore the fundamentals of linear regression, including regression lines, hyper-planes, and the essential least squares method for statistical modeling.

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

NPTEL-NOC IITM

Instrumental Variable Estimation for Multiple Linear Regression Models - Part IV

Explore IV techniques for MLRM, generalized MLRM, multiple instruments, and endogenous variables in econometric modeling.

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

Regression and Gradient Descent

Master regression algorithms from scratch, implementing linear and logistic regression using gradient descent. Build predictive models without relying on high-level libraries for deep mathematical understanding.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

London School of Economics and Political Science

Business Intelligence Analyst

Master data visualization and econometric modeling with Tableau and Excel to make data-driven business decisions and advance your analytics career.

• GetSmarter
• 6 weeks, 5 hours a week
• 29th Apr, 2026
• Paid Course

Regression Models for Prediction

Master regression modeling techniques to build predictive models using Python, covering multiple linear, polynomial, lasso and ridge regression, along with essential model evaluation metrics and visualization methods.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Regression and Gradient Descent

Master regression algorithms and gradient descent by building them from scratch, covering linear and logistic regression without relying on high-level libraries.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate