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.

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: API Testing, Test Automation, Test Case, Test Execution Engine, Application Programming Interface (API), Regression Testing, System Monitoring, Restful API, Continuous Integration, Scenario Testing, Debugging, Continuous Delivery, Jenkins, CI/CD, Test Data, Azure DevOps, Query Languages, Data Validation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Vulnerability Management, Security Information and Event Management (SIEM), Penetration Testing, Vulnerability Assessments, Cybersecurity, Intelligence Collection and Analysis, Vulnerability Scanning, Cyber Attacks, Network Security, Information Systems Security, Computer Security, Analysis, Network Analysis, Auditing, Data Analysis, Linux Commands, Data Collection, Correlation Analysis, Bash (Scripting Language), Windows PowerShell
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: HTML and CSS, Web Design, Hypertext Markup Language (HTML), Creative Design, Cascading Style Sheets (CSS), User Interface (UI), Web Development, Usability, Information Architecture
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Beginner · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: User Research, Usability Testing, Stakeholder Engagement, User Experience Design, User Experience, Experience Design, Persona (User Experience), Workflow Management, Human Centered Design, User Centered Design, UI/UX Strategy, Wireframing, Prototyping, Design Thinking, Cross-Functional Collaboration, Information Architecture, Storytelling
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Interactive Design, User Interface (UI), Web Design and Development, Web Content, Application Programming Interface (API), Real Time Data, Web Content Accessibility Guidelines, Semantic Web, Data Storage Technologies, Information Architecture, Data Storage
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Record Keeping, Document Management, Accounting Records, Records Management, File Management, Compliance Management, Document Control, Regulatory Requirements, Regulation and Legal Compliance, Information Architecture, Auditing, Financial Regulations, Data Security
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Information Architecture, Browser Compatibility, HTML and CSS, Verification And Validation, Semantic Web, Web Design and Development, Web Design, Data Validation, User Interface (UI) Design
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months