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.

Skills you'll gain: Unit Testing, Test Driven Development (TDD), Program Development, Mockups, Test Script Development, Development Testing, Software Testing, Test Case
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
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
Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Georgia Institute of Technology
Skills you'll gain: Structural Analysis, Probability & Statistics, Structural Engineering, Hydraulics, Statistical Methods, Statistics, Engineering Analysis, Mechanical Engineering, Probability, Engineering, General Mathematics, Probability Distribution, Mechanics, Hydrology, Engineering Calculations, Engineering Practices, Civil Engineering, Applied Mathematics, Algebra, Calculus
Mixed · Course · 1 - 3 Months

Skills you'll gain: Surveys, Survey Creation, Market Research, Sampling (Statistics), Business Research, Research Methodologies, Research Design, Case Studies, Statistical Hypothesis Testing, Marketing, Quantitative Research, Data-Driven Marketing, Marketing Strategies, Marketing Analytics, Statistical Methods, Consumer Behaviour, Data Collection, Market Intelligence, Data Analysis, Business Analytics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Portfolio Risk, Risk Modeling, Risk Analysis, Profit and Loss (P&L) Management, Risk Management, Risk Management Framework, Financial Modeling, Business Risk Management, Microsoft Excel, Variance Analysis, Project Risk Management, Finance, Excel Formulas, Financial Market, Probability Distribution, Financial Management, Statistical Methods, Simulation and Simulation Software, Stress Management, Environment
Mixed · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistics, Statistical Inference, Probability & Statistics, Statistical Modeling, Statistical Methods, Probability Distribution, Statistical Analysis, Markov Model, Statistical Programming, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Operational Risk, Predictive Modeling, Risk Modeling, Risk Analysis, Probability, Statistical Methods, Statistical Analysis, Financial Analysis, Credit Risk, Financial Management, Financial Data, Risk Management, Probability Distribution, Statistical Hypothesis Testing, Finance, Analysis, Probability & Statistics, Statistics, Variance Analysis, Decision Making
Mixed · Course · 1 - 3 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)
Beginner · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Spreadsheet Software, Financial Modeling, Predictive Modeling, Regression Analysis, Statistical Modeling, Data Modeling, Financial Forecasting, Excel Formulas, Risk Modeling, Business Modeling, Simulation and Simulation Software, Microsoft Excel, Google Sheets, Probability Distribution, Analysis, Forecasting, Predictive Analytics, Risk Analysis, Statistical Methods, Data Analysis Software
Mixed · Course · 1 - 4 Weeks