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 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 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

Columbia University
Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Mathematical Modeling, Applied Mathematics, Capital Markets, Futures Exchange, Equities, Financial Modeling, Probability, Risk Management, Portfolio Management, Probability Distribution, Cash Flows
Intermediate · Course · 1 - 3 Months
Emory University
Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing
Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods
Beginner · Course · 1 - 3 Months

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Quality Control, Team Leadership, Statistics
Intermediate · Specialization · 3 - 6 Months

Universidad Austral
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Probability Distribution, Algorithms
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Random Forest Algorithm, Data Preprocessing, Data Analysis, Regression Analysis, Responsible AI, Recurrent Neural Networks (RNNs), Classification Algorithms, Decision Tree Learning, Data Collection, AI Workflows, Regulatory Compliance, Business Ethics, Learning Strategies, Test Planning, Goal Setting, Productivity
Intermediate · Professional Certificate · 3 - 6 Months

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

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