Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Statistical Machine Learning, Convolutional Neural Networks, Machine Learning Algorithms
★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Statistical Machine Learning, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation, Predictive Analytics, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.7 (35) · Beginner · Specialization · 3 - 6 Months

★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
★ 4.3 (7) · Intermediate · Course · 1 - 4 Weeks

SkillUp
Skills you'll gain: Decision Intelligence, Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, LLM Application, Medical Privacy, Large Language Modeling, Logistic Regression, Computer Vision, Embeddings
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Risk Modeling, Decision Tree Learning, Credit Risk, Model Training, Predictive Analytics, Feature Engineering, Logistic Regression, Data Analysis, Data-Driven Decision-Making, Model Optimization, Applied Machine Learning, Risk Analysis, Financial Analysis, Machine Learning Methods, Performance Analysis
★ 5 (12) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Lean Methodologies, Operational Excellence, Process Mapping, Process Improvement and Optimization, Data-Driven Decision-Making, Process Optimization, Workflow Management, Process Analysis, Stakeholder Management, Six Sigma Methodology, Operational Efficiency, Process Improvement, Business Process Improvement, Business Workflow Analysis, Productivity, Kaizen Methodology, Continuous Improvement Process, Root Cause Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
★ 4.4 (7) · Mixed · Course · 1 - 4 Weeks
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Data Wrangling, Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Training, Predictive Modeling, Decision Tree Learning, Model Evaluation, Model Optimization
Intermediate · Course · 1 - 4 Weeks