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.

Universitat Autònoma de Barcelona
Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Algorithms, Histogram
Mixed · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Probability Distribution, Python Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

Yale University
Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Data Collection, Sampling (Statistics), Medical Terminology, Correlation Analysis
Beginner · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data
Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation
Beginner · Course · 1 - 3 Months

Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
Mixed · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Process Improvement, Statistics, Correlation Analysis, Variance Analysis
Beginner · Course · 1 - 3 Months