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 Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: WordPress, Ajax, Development Environment, Content Management Systems, Web Development, Data Management, PHP (Scripting Language), Database Development, MySQL, Javascript and jQuery, Information Architecture, Database Management, Cascading Style Sheets (CSS), Application Security, User Accounts, Data Validation
Intermediate · Specialization · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Interactive Design, Canva (Software), Layout Design, Digital Design, Information Architecture, Browser Compatibility, Graphic and Visual Design, Typography, Design Strategies, Color Theory, Design Elements And Principles, Quality Assurance
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Data Visualization, Heat Maps, Data Visualization, Data Visualization Software, Matplotlib, Plotly, Data Storytelling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis, Data Preprocessing, Data Science, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PHP (Scripting Language), File I/O, Web Applications, Usability, Information Architecture, Responsive Web Design, Hypertext Markup Language (HTML), Front-End Web Development, MySQL, Web Design and Development, User Experience Design, Browser Compatibility, User Interface (UI), HTML and CSS, Verification And Validation, User Interface (UI) Design, Server Side, Semantic Web, Back-End Web Development, Javascript
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Architecture, Data Infrastructure, Distributed Computing, Data Modeling, Scalability, Data Management, Data Strategy, Microservices, Solution Architecture, Data Governance, Software Architecture, Semantic Web, Data Integration, Information Architecture, CI/CD, Software Design, Maintainability, Enterprise Architecture, Data Analysis, Generative AI
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Hedge Accounting, Portfolio Risk, Risk Modeling, Risk Management, Risk Analysis, Risk Management Framework, Investment Management, Regression Analysis, Accounting, Portfolio Management, Financial Analysis, Analysis, Statistical Analysis, Derivatives, Fund Accounting, Financial Trading, Case Studies, International Finance, Tax Laws
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing
Mixed · Course · 1 - 4 Weeks