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 Maryland, College Park
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Survey Creation, Surveys, Data Collection, Statistical Analysis, Data Analysis Software, Research Design, STATA (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Interviewing Skills, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Statistical Methods, Information Architecture, Differential Equations, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Probability Distribution, Probability & Statistics, Machine Learning Methods, Model Evaluation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Logistic Regression, Machine Learning Algorithms, Statistical Methods, Classification Algorithms, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Quantitative Research, Descriptive Statistics, Probability & Statistics, Epidemiology, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Estimation, Probability & Statistics, Probability, Markov Model, Statistical Inference, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Data Analysis, Mathematical Modeling, Descriptive Statistics, Theoretical Computer Science, Statistical Modeling, Data Science, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Visualization, Data Visualization Software, Histogram, Statistics, Jupyter, Matplotlib, Probability & Statistics, Data Analysis, Box Plots, Exploratory Data Analysis, Statistical Analysis, Statistical Inference, Data Manipulation, Python Programming, Data Management
Beginner · Course · 1 - 4 Weeks

Yale University
Skills you'll gain: Research Design, Statistical Methods, Descriptive Statistics, Data Literacy, Research Methodologies, Scientific Methods, Clinical Research, Research, Biostatistics, Sampling (Statistics), Medical Terminology
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Statistical Hypothesis Testing, NumPy, Probability Distribution, Python Programming
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health
Beginner · Course · 1 - 3 Months