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.

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Data Import/Export, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Machine Learning, Random Forest Algorithm, Statistical Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Feature Engineering, Predictive Analytics, Statistical Modeling, Data Processing, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Estimation, Mathematical Modeling, Control Systems, Simulations, Linear Algebra, Applied Mathematics, Time Series Analysis and Forecasting, Matlab, Probability & Statistics, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

École normale supérieure
Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus
Mixed · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Quality Improvement, Statistics, Probability, Systems Of Measurement, Statistical Analysis
Mixed · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Supply Chain Planning, Supply Chain Management, Inventory Management System, Process Optimization, Operations Management, Demand Planning, Resource Allocation, Capacity Management, Microsoft Excel, Cost Reduction, Simulation and Simulation Software, Mathematical Modeling, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Supervised Learning, Deep Learning, Machine Learning, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Statistical Methods, Regression Analysis
Intermediate · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Intermediate · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Regression Analysis, Statistical Inference, Data Analysis
Mixed · Course · 1 - 3 Months