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: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: 3D Modeling, Virtual Environment, 3D Assets, Visualization (Computer Graphics), Computer Graphics, Linear Algebra, Animations, Programming Principles, Simulations, User Interface (UI), Scripting Languages, Computational Logic
Mixed · Course · 1 - 3 Months

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

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

Skills you'll gain: Predictive Modeling, Data Visualization, Data Presentation, Data-Driven Decision-Making, Advanced Analytics, Business Analytics, AI Enablement, Business Reporting, Global Marketing, User Feedback, Regional Sales, Presentations, Key Performance Indicators (KPIs), Law, Regulation, and Compliance
Beginner · 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: Generative AI, AI Personalization, Prompt Engineering, Web Content, Google Cloud Platform, User Experience, Information Architecture, Content Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Google Gemini, Google Workspace, Application Deployment, OAuth, AI Enablement, Email Automation, Enterprise Application Management, Identity and Access Management, Productivity Software, Collaborative Software, Application Programming Interface (API), Internal Communications, Data Store, Information Architecture
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Information Architecture, User Experience, Content Management, Usability, UI/UX Research, Usability Testing, Design Research, User Centered Design, User Research, Statistical Analysis, Content Strategy, Goal Setting, Sample Size Determination
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Application Deployment, Gemini, Data Store, Cloud Applications, OAuth, Data Access, Productivity Software, Performance Metric, Collaborative Software, Identity and Access Management, Data Integration, Search Engine Marketing, Generative AI Agents, Information Architecture, Company, Product, and Service Knowledge
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms
Mixed · Course · 1 - 4 Weeks