Random Forest courses can help you learn decision tree algorithms, ensemble methods, feature selection, and model evaluation techniques. You can build skills in data preprocessing, hyperparameter tuning, and interpreting model outputs. Many courses introduce tools like Python's scikit-learn and R's randomForest package, showing how these skills are applied to tasks such as classification, regression, and handling large datasets.

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Science, Data Mining, Analytics, Exploratory Data Analysis, Regression Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Statistical Analysis, Data Analysis Software, Data Collection, Statistical Software, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Statistical Programming, R Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Amsterdam
Skills you'll gain: Lean Six Sigma, Data Visualization, Statistical Hypothesis Testing, Minitab, Statistical Visualization, Six Sigma Methodology, Regression Analysis, Probability Distribution, Statistical Methods, Descriptive Statistics, Data Analysis, Histogram, Lean Methodologies, Statistical Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Data-Driven Decision-Making, Analytics, Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unit Testing, Test Driven Development (TDD), Program Development, Mockups, Test Script Development, Development Testing, Software Testing, Test Case
Intermediate · Course · 1 - 4 Weeks

Yale University
Skills you'll gain: Land Management, Environmental Science, Sustainable Systems, Sustainable Development, Environment, Natural Resource Management, Environmental Engineering and Restoration, Environmental Issue, Environmental Resource Management, Environment and Resource Management, Climate Change Adaptation, Philanthropy, Social Studies, Climate Change Mitigation, Finance, Financial Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Problem Solving, Algorithms, Correlation Analysis, Probability Distribution
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Applied Mathematics, Data Collection
Build toward a degree
Intermediate · Course · 1 - 3 Months