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: Generative AI, Web Analytics and SEO, AI Enablement, Web Content, Content Management Systems, AI Personalization, Prompt Engineering, Multimodal Prompts, Google Cloud Platform, Information Architecture, Performance Testing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Game Design, Computer Graphics, Trigonometry, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms, General Mathematics
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, AI Personalization, Prompt Engineering, Web Content, User Experience, Web Analytics and SEO, Information Architecture, Google Cloud Platform
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Collaborative Software, Brainstorming, Information Architecture, Organizational Skills, Productivity
Beginner · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Test Case, Test Automation, Test Execution Engine, Regression Testing, CI/CD, API Testing, Continuous Integration, Continuous Deployment, No-Code Development, Test Planning, Test Data, Maintainability, Debugging, Scalability
Advanced · 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

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

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: Information Architecture, Software Architecture, System Configuration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks