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.

The State University of New York
Skills you'll gain: Performance Analysis, Analytics, Data-Driven Decision-Making, Scheduling, Labor Relations, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Team Management, Data Analysis Software, R (Software), Contract Negotiation, Operations Management
Beginner · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Computational Logic, Algorithms, Linear Algebra, Cryptography
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Simplilearn
Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Continuous Quality Improvement (CQI), Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis
Beginner · Course · 1 - 3 Months

Pontificia Universidad Católica de Chile
Skills you'll gain: Image Quality, Image Analysis, Digital Signal Processing, Computer Vision, Color Theory, Python Programming, Algorithms, NumPy, Linear Algebra
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, AI Enablement, Technical Communication, Artificial Intelligence, Information Architecture, User Interface (UI)
Beginner · Guided Project · Less Than 2 Hours

Multiple educators
Skills you'll gain: Sustainable Design, Packaging and Labeling, Human Centered Design, Sustainable Engineering, Sustainable Business, Environmental Regulations, Sustainability Standards, Design Thinking, Product Development, Business Leadership, Waste Minimization, Product Design, Corporate Sustainability, Product Lifecycle Management, Regulatory Requirements, Design Strategies, Logistics, Environment and Resource Management, Design Research, Process Improvement
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks