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: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Model Optimization, Data Modeling, Public Health and Disease Prevention, Immunology, R Programming, Regression Analysis, Differential Equations, Statistical Methods, Public Health, Statistical Programming, Probability Distribution
★ 4.7 (56) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization
★ 4.7 (24) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Javascript, Web Applications, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)
★ 4.8 (14) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Graphing, Applied Mathematics, Mathematical Modeling, Trigonometry, Probability, Advanced Mathematics, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Logical Reasoning, Probability Distribution, Mathematical Theory & Analysis, Descriptive Statistics, Arithmetic, Statistics, Engineering Calculations, Calculus, Analytical Skills
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Quantum computing, Algorithms, Computer Hardware, IBM Cloud, Cryptography, Python Programming, Computer Programming, Software Documentation, Simulations
★ 4.5 (26) · Beginner · Course · 1 - 3 Months

Universiteit Leiden
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Statistical Analysis, Descriptive Analytics, R (Software), Descriptive Statistics, Statistical Methods, Sampling (Statistics), Analysis, Probability & Statistics, Data Ethics, Data Collection, Analytical Skills, Medical Privacy, Exploratory Data Analysis, Statistical Reporting, Logistic Regression
★ 4.6 (45) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Six Sigma Methodology, Correlation Analysis, Kaizen Methodology, Process Improvement, Process Improvement and Optimization, Project Coordination, Project Design, Quality Improvement, Sampling (Statistics), Project Management Software, Milestones (Project Management), Project Management, Data Literacy, Statistical Process Controls, Statistical Methods, Business Process, Statistical Modeling
★ 5 (48) · Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Processing, Data Science, Programming Principles, Text Mining, File I/O, Data Manipulation, Big Data, Performance Tuning, Python Programming, Probability Distribution
★ 4 (22) · Beginner · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Probability, Simulations, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Statistical Inference, Calculus, Integral Calculus
★ 4.6 (40) · Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
★ 3.9 (10) · Intermediate · Specialization · 3 - 6 Months

28DIGITAL
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis
★ 4.4 (24) · Intermediate · Course · 1 - 4 Weeks