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: Model Evaluation, Data Preprocessing, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Decision Tree Learning, Data Cleansing, Machine Learning, Predictive Modeling, Random Forest Algorithm, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics
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Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Machine Learning Methods, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Computational Logic, Python Programming, Data Science, Logistic Regression, Data Processing, Unstructured Data
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Focus Group, Quantitative Research, Statistical Hypothesis Testing, Qualitative Research, Data Visualization, Survey Creation, Data Synthesis, Surveys, Data Presentation, Marketing Analytics, Regression Analysis, Discussion Facilitation, Market Research, Data Storytelling, Statistical Inference, Business Research, Proposal Development, Sampling (Statistics), Research Methodologies, Proposal Writing
Beginner · Specialization · 3 - 6 Months

Sage Publications
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Quantitative Research, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Inference, Statistics, Science and Research, Sampling (Statistics), Data Analysis, Experimentation, Psychology, Research, Probability, Probability Distribution, Graphing
Intermediate · Course · 1 - 3 Months

Sage Publications
Skills you'll gain: Data Manipulation, Data Wrangling, Data Cleansing, Data Management, Tidyverse (R Package), R (Software), Data Transformation, R Programming, Spatial Data Analysis, Data Processing, SPSS, Spatial Analysis, Text Mining, Data Import/Export, Time Series Analysis and Forecasting, STATA (Software), Statistical Analysis, Sampling (Statistics), Geospatial Information and Technology, Data Visualization
Beginner · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Risk Analysis, Simulation and Simulation Software, Statistical Methods, Probability Distribution, Data-Driven Decision-Making, Decision Making, Statistical Hypothesis Testing, Statistical Analysis, Model Optimization, Probability & Statistics, Microsoft Excel, Spreadsheet Software
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Correlation Analysis, Data Science, Mathematical Theory & Analysis, Data Collection
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Intermediate · Specialization · 3 - 6 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Probability & Statistics, Descriptive Statistics, Statistics, Data Literacy, Data Analysis, Statistical Methods, Statistical Modeling, Correlation Analysis, Statistical Analysis, Descriptive Analytics, Data Presentation, Statistical Visualization, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Graphing, Scatter Plots
Beginner · Course · 1 - 4 Weeks
Stanford Online
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)
Advanced · Specialization · 3 - 6 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Computational Logic, Agentic systems, Bayesian Network, Decision Intelligence, Machine Learning, Bayesian Statistics, AI literacy, Markov Model, Algorithms, Computational Thinking, Probability, Model Optimization, Probability & Statistics, Probability Distribution
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Intermediate · Course · 1 - 3 Months