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 Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Information Architecture, No-Code Development, Organizational Skills, Content Management, Document Management, Productivity, File Management, Collaboration, User Accounts, Databases
Mixed · Course · 1 - 3 Months

American Psychological Association
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing
Beginner · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Quality Assurance, Software Quality Assurance, Test Planning, Test Case, Continuous Integration, DevOps, Software Testing, Regression Testing, Test Execution Engine, Software Engineering Tools, Agile Methodology, Issue Tracking, Risk Management Framework, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Hedge Accounting, Derivatives, Private Equity, Portfolio Risk, Risk Modeling, Loans, Risk Management Framework, Regression Analysis, Accounting, Fund Accounting, Risk Analysis, Investment Management, Financial Reporting, Financial Accounting, Equities, Generally Accepted Accounting Principles (GAAP), Performance Measurement, Portfolio Management, Performance Analysis, Risk Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Cascading Style Sheets (CSS), HTML and CSS, Data Validation, Data Import/Export, Data Mapping, Data Sharing, Javascript, Document Management, Hypertext Markup Language (HTML), Technical Documentation, Interoperability, Data Integrity, Information Architecture, Web Development Tools, Data Management, Scripting, Web Content Accessibility Guidelines
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Correlation Analysis, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Climate Change Adaptation, Data Manipulation
Mixed · Course · 1 - 3 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Science, Text Mining, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Semantic Web, Web Content, Information Architecture, Web Design and Development, Web Development, Front-End Web Development
Beginner · Guided Project · Less Than 2 Hours