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: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Pandas (Python Package), Machine Learning Algorithms
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Fraud detection, Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Application Deployment, Jupyter, Data Analysis, System Monitoring, Data Warehousing, Machine Learning
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Artificial Neural Networks, Forecasting, Data Mining, Supervised Learning, Exploratory Data Analysis, Probability & Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing
Intermediate · Guided Project · Less Than 2 Hours

Vanderbilt University
Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Statistical Analysis, Correlation Analysis, Technical Communication, Probability & Statistics, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, PySpark, Application Deployment, Data Analysis, Apache Spark, Predictive Modeling, Data Processing, Machine Learning Methods, Customer Analysis, Decision Tree Learning, Data Cleansing, Machine Learning, Predictive Analytics
Intermediate · Guided Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks
Beginner · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing
Mixed · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks