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.

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months

EDUCBA
Skills you'll gain: Authentications, Application Frameworks, Web Applications, Web Development, Network Routing, Information Architecture, Unit Testing, Authorization (Computing), Middleware, Development Testing, Functional Testing, Application Security, Configuration Management, File Management
Advanced · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Web Content, Web Analytics and SEO, Information Architecture, Google Cloud Platform, Prompt Engineering, Content Management, User Interface and User Experience (UI/UX) Design
Beginner · Course · 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: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Animations, 3D Modeling, 3D Assets, Computer Graphics, Computer Graphic Techniques, Visualization (Computer Graphics), Prototyping, User Interface (UI), Linear Algebra, Programming Principles, Scripting, Simulations, Computational Logic, Scripting Languages, Graphical Tools, Data Structures
Beginner · Specialization · 3 - 6 Months

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

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Lean Six Sigma, Organizational Change, Lean Methodologies, Six Sigma Methodology, Organizational Leadership, Project Scoping, Root Cause Analysis, Statistical Analysis, Statistical Methods, Process Improvement, Process Analysis, Quality Improvement, Continuous Quality Improvement (CQI), Process Capability, Statistical Hypothesis Testing, Data Analysis, Kanban Principles, Waste Minimization
Mixed · Course · 1 - 4 Weeks