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.

Northeastern University
Skills you'll gain: Probability & Statistics, Statistics, Probability Distribution, Probability, Data Literacy, Statistical Methods, Statistical Modeling, Data Analysis, Bayesian Statistics, Statistical Analysis, Exploratory Data Analysis, Combinatorics, Descriptive Statistics, Correlation Analysis, Mathematical Modeling, Applied Mathematics
Mixed · Course · 1 - 3 Months

O.P. Jindal Global University
Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Economics, Statistical Inference, Mathematical Modeling, Probability Distribution, Logistic Regression, Model Evaluation
Beginner · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms
★ 3.2 (6) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
★ 4.7 (10) · Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Research Design, Statistical Software, Probability, Network Analysis
Beginner · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Data Analysis Software, Statistical Methods, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, Sampling (Statistics), R (Software), R Programming, Numerical Analysis, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Statistical Analysis, Statistical Reporting, Data-Driven Decision-Making, Statistical Visualization, Probability & Statistics, Statistical Methods, Statistical Inference, Data Visualization, Microsoft Excel, Probability Distribution, Data Presentation, Data Collection, Influencing
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Bayesian Network, Bayesian Statistics, Markov Model, Probability, Decision Intelligence, Reinforcement Learning, Machine Learning Methods, Artificial Intelligence, Statistical Inference, Statistical Modeling, Network Model, Forecasting, Probability & Statistics, Dependency Analysis, Statistical Methods, Agentic systems, Applied Machine Learning, Probability Distribution, Time Series Analysis and Forecasting, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Ball State University
Skills you'll gain: Statistical Methods, Probability & Statistics, Probability, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, R (Software), Simulations, Statistical Visualization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing
★ 4.8 (11) · Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Software, Statistical Hypothesis Testing, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
Intermediate · Course · 1 - 3 Months