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.

Kennesaw State University
Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Collection, Performance Measurement, Regression Analysis, Probability, Statistics, Process Improvement, Quality Improvement, Business Process, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Data Manipulation, Feature Engineering, Random Forest Algorithm
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Process Engineering, Numerical Analysis, Engineering Analysis, Statistical Methods, Differential Equations, Physics, Engineering, Simulation and Simulation Software, Probability Distribution, Mathematical Modeling, Applied Mathematics, Materials science, Open Source Technology, Simulations
Advanced · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Process Analysis, Probability Distribution, Probability & Statistics, Process Improvement, Quality Improvement, Process Mapping, Systems Of Measurement, Data Analysis, Statistical Methods, Probability, Statistics, Risk Analysis
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Predictive Modeling, Probability Distribution
Intermediate · Course · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Risk Management, Business Risk Management, Risk Modeling, Operational Risk, Enterprise Risk Management (ERM), Credit Risk, Risk Analysis, Portfolio Management, Capital Markets, Financial Market, Financial Regulation, Financial Modeling, Market Liquidity, Probability Distribution
Beginner · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Classification Algorithms, Probability Distribution, Statistical Methods, Algorithms, Regression Analysis
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Market Research, Proposal Writing, Research Methodologies, Market Analysis, Business Research, Data Collection, Quantitative Research, Business Writing, Sampling (Statistics), Survey Creation, Qualitative Research, Request for Proposal, Client Services, Professional Networking
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Probability, Combinatorics, Algorithms, Computational Thinking, Statistics, Mathematical Modeling, Computer Programming, Arithmetic, Program Development
Beginner · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Data Collection, Survey Creation, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Data Management, Big Data, Statistical Methods
Intermediate · Course · 1 - 4 Weeks