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.

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
★ 4.8 (2.8K) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Meta Ads Manager, Marketing Analytics, Data-Driven Marketing, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Marketing Strategy and Techniques, Statistical Software, Sampling (Statistics), A/B Testing, Data Collection, Marketing, Analytics, Performance marketing, Web Analytics
★ 4.8 (3K) · Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Data Manipulation, Analytics, Sample Size Determination, SQL, Spreadsheet Software
★ 4.8 (19K) · Beginner · Course · 1 - 3 Months
University of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Decision Intelligence, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Statistical Inference, Mathematical Modeling
★ 4.6 (1.5K) · Beginner · 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
★ 4.6 (4.9K) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

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
★ 4.5 (290) · Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Analytical Skills, Science and Research, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Statistical Analysis, R (Software), Data Analysis, Statistical Software, Statistical Programming, Probability & Statistics, Statistical Methods, Data Analysis Software, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution
★ 4.7 (1.6K) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
Intermediate · Course · 1 - 4 Weeks

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

Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability
★ 4.8 (759) · Advanced · Course · 1 - 3 Months