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: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability
Advanced · Course · 1 - 3 Months
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours
Stanford University
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

Yale University
Skills you'll gain: Land Management, Environmental Science, Sustainable Systems, Sustainable Development, Natural Resource Management, Environmental Engineering and Restoration, Environmental Resource Management, Environment and Resource Management, Philanthropy, Social Studies, Climate Change Mitigation, Finance
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Random Forest Algorithm, R Programming, Workforce Management, Predictive Analytics, Decision Tree Learning, R (Software), Classification Algorithms
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

Johns Hopkins University
Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Data Literacy, Probability Distribution, Statistics, Public Health, Sampling (Statistics), Statistical Inference, Analysis, Sample Size Determination, Risk Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks