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 Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Predictive Modeling, Simulation and Simulation Software, Operations Research, Probability Distribution, Data-Driven Decision-Making, Statistical Hypothesis Testing, Statistical Analysis, Microsoft Excel, Excel Formulas
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Generative Model Architectures, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: HTML and CSS, JSON, Responsive Web Design, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Game Design, UI Components, Animations, Algorithms, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unit Testing, Test Driven Development (TDD), Mockups, Development Testing, Software Testing, Test Case, Debugging
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic
Beginner · 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, Probability Distribution, Regression Analysis, Process Capability, Business Process, Statistical Process Controls, Quality Management, Team Management, Project Management
Beginner · Specialization · 3 - 6 Months

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

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

Duke University
Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric
Intermediate · Course · 1 - 3 Months

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

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Spreadsheet Software, Financial Modeling, Regression Analysis, Statistical Modeling, Excel Formulas, Business Modeling, Simulation and Simulation Software, Microsoft Excel, Google Sheets, Probability Distribution, Forecasting, Risk Analysis, Data Analysis Software, Process Optimization, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks