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 Michigan
Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Processing, Data Analysis, Data Management, Data Preprocessing, Data Access, Statistical Analysis, Analysis, Sampling (Statistics), Verification And Validation, Design Strategies
Beginner · Specialization · 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
Intermediate · Specialization · 3 - 6 Months

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Methods, Root Cause Analysis, Quality Improvement, Statistical Inference, Process Analysis, Correlation Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Variance Analysis, Sample Size Determination, Sampling (Statistics)
Mixed · Course · 1 - 3 Months

Campus BBVA
Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Business Analytics, Data Visualization, Dashboard Creation, Data Quality, Data Analysis, Analytics, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Big Data, Sampling (Statistics), Statistical Hypothesis Testing, Project Management Life Cycle, Probability Distribution
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Excel Formulas, Data Transformation, Interactive Data Visualization, Data Presentation, Microsoft Excel, Datamaps, Data Visualization, Dashboard Creation, Sampling (Statistics), Dashboard, Pivot Tables And Charts, Data Analysis, Statistical Analysis, Data Cleansing, Microsoft Office, Geospatial Mapping, Microsoft 365, Productivity Software
Intermediate · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Systems Thinking, Materials science, Quantum computing, Biology, Science and Research, Scientific Methods, Mathematical Modeling, Physics, Applied Mathematics, Neurology, Cell Biology
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Statistical Methods, Descriptive Statistics, Statistical Analysis, General Mathematics, Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Data Manipulation, Programming Principles, Quantum computing, Computer Programming, Software Installation, Computational Logic, Development Environment, Package and Software Management, Jupyter
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Algorithms, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
Beginner · Guided Project · Less Than 2 Hours