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.
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Software Design, Software Design Patterns, Functional Design, Java, Programming Principles, Performance Tuning, Data Structures, Algorithms
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Large Language Modeling, LLM Application
Beginner · Course · 1 - 4 Weeks

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Test Planning, Learning Strategies, Goal Setting, Registration
Intermediate · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
Advanced · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

University of Geneva
Skills you'll gain: Portfolio Management, Risk Management, Risk Analysis, Investments, Asset Management, Wealth Management, Financial Market, Derivatives, Equities, Probability Distribution, Estimation, Correlation Analysis, Variance Analysis
Mixed · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Inference, Business Analytics, Descriptive Statistics, Sampling (Statistics), Data-Driven Decision-Making, Data Analysis, Data Presentation, Statistical Analysis, Microsoft Excel, Exploratory Data Analysis, Probability & Statistics, Decision Making, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months