Linear Models Courses and Certifications

Generalized Linear Models and Nonparametric Regression

24 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
• Self-Paced
• Paid Course

UofU Data Science

Linear Models and Their Geometry in Machine Learning - Lecture 6

Explore the geometry and fundamental concepts of linear classifiers, examining their role as essential tools in machine learning classification problems.

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

UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Linear Models and Linear Classifiers - Lecture 6

Delve into linear classifiers and their expressive hypothesis class, exploring augmented versions, monotone conjunctions, and feature transformations for machine learning applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

UofU Data Science

Linear Models and Their Geometry in Machine Learning - Lecture 5

Explore the fundamental concepts and geometric principles behind linear classifiers, a cornerstone of machine learning algorithms and classification techniques.

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

TabletClass Math

Constructing Linear Models and Equations from Word Problems - Step by Step

Master constructing linear equations from word problems through step-by-step guidance on slope, intercepts, and rate of change, enhancing your algebra and real-world problem-solving skills.

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

Harvard CMSA

Implicit Regularization via Uniform Convergence in Linear Models and Kernel Methods

Explore the statistical analysis of mirror descent algorithms and their convergence properties in machine learning, focusing on early-stopped methods and uniform learning theory applications.

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

Broad Institute

Linear Models for GWAS Analysis - 2025

Delve into linear models for genome-wide association studies (GWAS), exploring statistical methods and principles for analyzing genetic variations in human populations and disease research.

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

Center for Language & Speech Processing(CLSP), JHU

Are Linear Models Right for Language?

Explore the fundamental question of whether linear models are suitable for natural language processing through expert analysis and theoretical insights.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Paid Course

Industrial Optimization: Models & Linear Programming

Explore deterministic models for industrial operations, focusing on linear programming formulation and solution techniques using software tools and algorithms.

• Coursera
• 11 hours 27 minutes
• Self-Paced
• Paid Course

Building Regression Models with Linear Algebra

Learn to build and apply regression models using linear algebra, including least squares method and Python implementation. Gain practical skills for real-world data analysis and prediction.

• Coursera
• 6 hours 19 minutes
• Self-Paced
• Paid Course

Statistics for Genomic Data Science

380 ratings at Coursera

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Machine Learning Foundations for Product Managers

824 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• Self-Paced
• Paid Course

Precalculus: Mathematical Modeling

97 ratings at Coursera

Explore mathematical modeling through functions, data analysis, and real-world applications. Build foundational skills for scientific careers and future math courses. Suitable for all students interested in applying math to various disciplines.

• Coursera
• 9 hours 50 minutes
• Self-Paced
• Paid Course