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.

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

LearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science
★ 3.3 (103) · Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
★ 4.6 (3.2K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Google Sheets, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
★ 4.8 (180K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Process Improvement and Optimization, Probability Distribution, Regression Analysis, Project Design, Quality Assessment, Project Schedules, Business Process, Project Management
★ 4.7 (4.3K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication
★ 4.6 (3.7K) · Beginner · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Team Performance Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Probability Distribution, Process Improvement and Optimization, Statistical Methods, Process Analysis, Data Literacy
★ 4.7 (4.8K) · Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, R Programming, Statistical Modeling, Data Visualization
★ 4.7 (7.7K) · Beginner · Specialization · 3 - 6 Months