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.

University of Leeds
Skills you'll gain: Resource Allocation, Production Planning, Graph Theory, Data-Driven Decision-Making, Production Schedule, Decision Making, Mathematical Modeling, Network Planning And Design, Mathematical Software, Model Optimization, Computational Logic, Algorithms, Cryptography
Beginner · Course · 1 - 4 Weeks

Northwestern University
Skills you'll gain: Robotics, Mathematical Modeling, Engineering, Mechanics, Torque (Physics), Mathematical Software, Virtual Environment, Simulation and Simulation Software, Engineering Calculations, Matlab, Control Systems, Applied Mathematics, Linear Algebra, Other Programming Languages
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Business Planning, Market Analysis, Information Architecture, Collaborative Software, Version Control, Ideation, Diagram Design, Organizational Structure
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsive Web Design, Flutter (Software), Mobile Development, Application Development, Mobile Development Tools, Data Validation, iOS Development, User Interface and User Experience (UI/UX) Design, Information Architecture, User Interface (UI) Design, User Interface (UI), Application Design, Cross Platform Development, UI Components, Interactive Design, Software Design, Interaction Design, Scalability, Usability, Verification And Validation
Beginner · Specialization · 1 - 3 Months

Packt
Skills you'll gain: Stata, STATA (Software), Scripting, Plot (Graphics), Statistical Visualization, Data Visualization, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Debugging, Data Integrity
Beginner · Course · 1 - 3 Months

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Decision Tree Learning, Deep Learning, Geospatial Mapping, Machine Learning
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Predictive Modeling, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Devops Tools, Model Training, Machine Learning Software, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Memory Management, Software Visualization, Performance Tuning
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Deployment
Intermediate · Project · Less Than 2 Hours
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Data Wrangling, Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Training, Predictive Modeling, Decision Tree Learning, Model Evaluation, Model Optimization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning
Beginner · Guided Project · Less Than 2 Hours