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.

Northwestern University
Skills you'll gain: Robotics, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanics, Torque (Physics), Algorithms, Applied Mathematics, Differential Equations, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: PHP (Scripting Language), File I/O, Web Applications, Usability, Information Architecture, Responsive Web Design, Hypertext Markup Language (HTML), Front-End Web Development, MySQL, Web Design and Development, User Experience Design, Browser Compatibility, User Interface (UI), HTML and CSS, Verification And Validation, User Interface (UI) Design, Server Side, Semantic Web, Back-End Web Development, Javascript
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Test Automation, Jenkins, Mobile Development, Test Execution Engine, Testability, Application Frameworks, Test Case, Regression Testing, Continuous Integration, Debugging, Scalability, CI/CD, Test Engineering, Maintainability, Automation, Continuous Deployment, Cross Platform Development, Containerization
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

American Psychological Association
Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Analysis, Statistical Methods, Statistical Inference, Analytical Skills, Statistics, Psychology, Regression Analysis, Research
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

EDUCBA
Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Data Sharing, Interoperability, Information Architecture, Technical Documentation, Data Management, Data Validation, Document Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning
Intermediate · Course · 1 - 3 Months

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

University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Predictive Modeling, Probability & Statistics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution
Intermediate · Course · 1 - 3 Months

Clemson University
Skills you'll gain: Data Ethics, Data Science, Model Evaluation, Regression Analysis, Data Visualization, Keras (Neural Network Library), Matplotlib, Dimensionality Reduction, Data Analysis, Tensorflow, Data Cleansing, Data Preprocessing, Convolutional Neural Networks, Artificial Neural Networks, Data-Driven Decision-Making, Statistical Analysis, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Python Programming
Build toward a degree
Intermediate · Course · 1 - 3 Months