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: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, 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

Universidad Austral
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science
Beginner · Course · 1 - 4 Weeks

The Chinese University of Hong Kong
Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms, General Mathematics
Mixed · Course · 3 - 6 Months

Pontificia Universidad Católica de Chile
Skills you'll gain: Transportation Operations, Network Analysis, Operations Research, Systems Analysis, Analysis, Demand Planning, Mathematical Modeling, Markov Model, Economic Development, Cost Benefit Analysis, Market Dynamics, Economics, Statistical Modeling, Probability Distribution, Decision Making
Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Correlation Analysis, Probability Distribution, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Probability Distribution
Mixed · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Surveys, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Derivatives, Financial Market, Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Probability Distribution, Calculus
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Interactive Data Visualization, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Collection, Data Analysis, Sampling (Statistics), Google Analytics
Beginner · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis
Intermediate · Course · 1 - 4 Weeks