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: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Advanced · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms
Intermediate · Course · 1 - 4 Weeks

Ball State University
Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization
Build toward a degree
Intermediate · Course · 1 - 3 Months

Maven Analytics
Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence
Beginner · Course · 1 - 3 Months

Skills you'll gain: Android Development, Unity Engine, User Interface (UI), Video Game Development, Animation and Game Design, User Interface (UI) Design, Mobile Development, 3D Assets, Graphics Software, Application Deployment, C# (Programming Language)
Beginner · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Specialization · 3 - 6 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Health Informatics, Sampling (Statistics), Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks