Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Vibrations, Mechanics, Engineering Analysis, Linear Algebra, Physics, Advanced Mathematics, Differential Equations, Calculus, Mathematical Modeling
Mixed · Course · 1 - 3 Months

Columbia University
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Classification Algorithms, Algorithms, Linear Algebra, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis
Beginner · Specialization · 3 - 6 Months

Emory University
Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Design Elements And Principles, Graphic Design, Design, Storytelling, Layout Design, Typography, Adobe InDesign, Design Research, Information Architecture, Color Theory, Adobe Photoshop
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Lean Methodologies, Team Motivation, Process Improvement, Six Sigma Methodology, Kaizen Methodology, Lean Six Sigma, Process Capability, Risk Analysis, Team Leadership, Quality Improvement, Team Management, Benchmarking, Motivational Skills, Performance Measurement, Change Management, Process Analysis, Root Cause Analysis, Regression Analysis
Intermediate · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Business Ethics, Governance
Build toward a degree
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation
Mixed · Course · 1 - 4 Weeks

University at Buffalo
Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Physics, Electrical Systems, Electronics, Electronic Components, electromagnetics, Problem Solving, Mechanics, Calculus, Linear Algebra, Integral Calculus
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Build toward a degree
Intermediate · Specialization · 1 - 3 Months