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.

Kennesaw State University
Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Methodologies, Process Improvement, Team Management, Process Capability, Data Collection, Knowledge Transfer, Team Building, Statistical Hypothesis Testing, Meeting Facilitation, Continuous Improvement Process, Performance Measurement, Conflict Management, Process Analysis, Sampling (Statistics), Quality Control, Team Leadership, Statistics
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

École Polytechnique
Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Epidemiology, Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Infectious Diseases, Public Health, Model Evaluation, Predictive Modeling, R Programming, Differential Equations, Data Modeling, Statistical Methods, Probability Distribution
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Probability & Statistics, Statistical Inference, Probability Distribution, Statistical Methods, Statistics, Applied Mathematics, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Theoretical Computer Science
Build toward a degree
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Surveys, Program Evaluation, Survey Creation, Health Policy, Sampling (Statistics), Health Systems, Health Assessment, Health Equity, Data Collection, Quantitative Research, Institutional Review Board (IRB), Maternal Health, Data Management, Statistical Analysis, Analysis, Nutrition and Diet, Public Health, Research Design, Data Cleansing, Data Analysis
Intermediate · Specialization · 3 - 6 Months

American Psychological Association
Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Research and Design, Qualitative Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

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

University of Minnesota
Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Data Preprocessing, Business Modeling, Business Analytics, Workforce Management, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Statistics, Predictive Analytics
Beginner · Specialization · 3 - 6 Months

Columbia University
Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
Intermediate · Specialization · 3 - 6 Months