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.

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Computational Thinking, Combinatorics, Data Science, Mathematical Software, Computer Science, Mathematical Modeling, Python Programming
Build toward a degree
Advanced · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Diagnostic Tests, Bayesian Statistics, Combinatorics, Statistical Methods, Applied Mathematics, Data Literacy, Statistical Inference, Business Mathematics, Logical Reasoning, Correlation Analysis, Fraud detection
Beginner · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Focus Group, Quantitative Research, Statistical Hypothesis Testing, Qualitative Research, Data Visualization, Survey Creation, Data Synthesis, Surveys, Data Presentation, Marketing Analytics, Regression Analysis, Discussion Facilitation, Market Research, Data Storytelling, Statistical Inference, Business Research, Proposal Development, Sampling (Statistics), Research Methodologies, Proposal Writing
Beginner · Specialization · 3 - 6 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months
University of Washington
Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Network Analysis, Neurology, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution
Beginner · Course · 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Risk Modeling, Estimation, Risk Management, Analysis, Decision Making, Risk Analysis, Statistics, Data-Driven Decision-Making, Forecasting, Strategic Decision-Making, Probability, Quantitative Research, Statistical Modeling, Data Collection, Data Analysis, Probability Distribution, Predictive Modeling, Strategic Prioritization, Simulation and Simulation Software, Statistical Methods
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Scikit Learn (Machine Learning Library), Computer Vision, Machine Learning, Sampling (Statistics), Continuous Monitoring, Data Collection, Python Programming, Big Data, Data Quality
Intermediate · Course · 1 - 3 Months

University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Risk Management, Finance, Correlation Analysis, Decision Making
Beginner · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
Mixed · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Risk Analysis, Simulation and Simulation Software, Statistical Methods, Probability Distribution, Data-Driven Decision-Making, Decision Making, Statistical Hypothesis Testing, Statistical Analysis, Model Optimization, Probability & Statistics, Microsoft Excel, Spreadsheet Software
Mixed · Course · 1 - 4 Weeks