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 Colorado Boulder
Skills you'll gain: Video Editing, Storyboarding, Post-Production, Editing, Video Production, Animations, Writing and Editing, Typography
Beginner · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Google Ads, Google Analytics, Keyword Research, Digital Marketing, Information Architecture, Content Strategy, Content Creation, User Experience
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis
Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Social Determinants Of Health, Healthcare Ethics, Health Policy, Data Analysis, Data Ethics, Substance Abuse, Correlation Analysis, Heat Maps, Community Mental Health Services, Data Visualization, Health Informatics, Trauma Care, Mental Health
Beginner · Course · 1 - 3 Months

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Selenium (Software), GitHub, Git (Version Control System), Version Control, CI/CD, File I/O, Object Oriented Programming (OOP), Test Automation, JUnit, Test Data, Unit Testing, Test Case, Regression Testing, Web Development Tools, Test Script Development, Software Testing, Javascript, Browser Compatibility, Scripting, Computer Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming
Beginner · Course · 3 - 6 Months

Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Test Driven Development (TDD), Debugging, Software Testing, Performance Testing, Unit Testing, API Testing, Test Case, Test Automation, Acceptance Testing, Regression Testing, Testability, Integration Testing, .NET Framework, Application Performance Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
Intermediate · Guided Project · Less Than 2 Hours