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.

Google Cloud
Skills you'll gain: Financial Trading, Financial Market, Regression Analysis, Google Cloud Platform, Model Evaluation, Financial Forecasting, Time Series Analysis and Forecasting, Market Trend, Deep Learning, Machine Learning, Technical Analysis, Artificial Neural Networks, Finance, Supervised Learning, Quantitative Research
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Scikit Learn (Machine Learning Library)
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Applied Machine Learning, Statistical Methods, Model Evaluation, Data Quality, Probability & Statistics, Data Analysis, Machine Learning Algorithms, Regression Analysis, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Decision Tree Learning, Supervised Learning, Data Preprocessing, Probability & Statistics, Model Evaluation, Statistics, SAS (Software), Machine Learning Software, Predictive Modeling, Classification And Regression Tree (CART), Workflow Management, Data Analysis, Random Forest Algorithm, Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Browser Compatibility, Test Automation, No-Code Development, Usability Testing, User Acceptance Testing (UAT), Regression Testing, Software Testing, Quality Assurance
Beginner · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Network Analysis, Theoretical Computer Science, Data Structures, Computational Thinking, Linear Algebra, Data Processing, Computer Science, Image Analysis, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Financial Policy, Statistical Inference, Business Analytics, International Finance, Economics, Probability Distribution, Analytics, Statistical Analysis, Statistics, Regression Analysis, Data-Driven Decision-Making, Microsoft Excel, Statistical Methods, Peer Review, Statistical Hypothesis Testing, Banking
Build toward a degree
Beginner · Specialization · 3 - 6 Months