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.

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Management, Predictive Analytics, Business Analytics, Logistic Regression, Analytics, Exploratory Data Analysis, Data Quality, Data Ethics, Data Analysis, Risk Analysis, Business Intelligence, Data Modeling, Data Visualization, Decision Making, Data Cleansing, SQL
Intermediate · Specialization · 3 - 6 Months

University of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Story, User Experience Design, User Centered Design, Prototyping, User Interface (UI), Usability, Mockups, Persona (User Experience), User Flows
Beginner · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment
Intermediate · Professional Certificate · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling
Beginner · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months