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.

Coursera
Skills you'll gain: Pivot Tables And Charts, Correlation Analysis, Data Import/Export, Microsoft Excel, Business Communication, Data Presentation, Data Analysis, Sales Management, Sales, Statistics, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Data Preprocessing, Data Ethics, Model Evaluation, Responsible AI, Performance Reporting, Business Communication
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Knowledge Transfer, Data Sharing, Technical Documentation, Document Management, Collaboration, Teamwork, Information Architecture, Productivity, Operational Efficiency, Content Management, Information Management, Business Communication, Digital Communications
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Knitr, Surveys, Survey Creation, Data Quality, Sample Size Determination, Statistical Hypothesis Testing, Data Governance, Market Research, Regression Analysis, Predictive Modeling, Quantitative Research, Data Maintenance, Data Analysis, Statistical Analysis, R Programming, Excel Formulas, Business Intelligence, Data Visualization, Performance Metric
Intermediate · Specialization · 3 - 6 Months

Beginner · Course · 1 - 4 Weeks

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Statistical Methods, Process Analysis, Lean Manufacturing, Statistical Analysis, Process Mapping, Data Collection
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Data Science, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, Cloud Security, CI/CD, Docker (Software), GitHub, Dashboard, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes
Intermediate · Specialization · 3 - 6 Months

Coursera
Beginner · Course · 1 - 4 Weeks