Random Forest Courses
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.
Popular Random Forest Courses and Certifications
Status: NewStatus: Free TrialSkills you'll gain: File I/O, Command-Line Interface, Operating Systems, Python Programming, File Management, Scripting, User Interface (UI), Data Import/Export, Data Structures, Simulations
Status: Free TrialJohns Hopkins University
Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)
Status: PreviewUniversity of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Skills you'll gain: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm
Status: NewStatus: Free TrialUniversity 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
Status: Free TrialJohns Hopkins University
Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging
Status: PreviewUniversity of Michigan
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms
Status: PreviewBall 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
Status: NewStatus: PreviewO.P. Jindal Global University
Skills you'll gain: Econometrics, Regression Analysis, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution, Logistic Regression, Model Evaluation
Status: PreviewDuke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference
Status: Free TrialSkills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
Status: NewStatus: Free TrialJohns Hopkins University
Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic
In summary, here are 10 of our most popular random forest courses
- Mastering Python Modules and File Systems: EDUCBA
- Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
- Cómo combinar y analizar datos complejos: University of Maryland, College Park
- Statistical Analysis and Data Modeling in Healthcare: SkillUp
- Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
- Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
- 파이썬의 응용 소셜 네트워크 분석: University of Michigan
- Statistical Methods for Data Science: Ball State University
- Econometrics - Theory and Practice: O.P. Jindal Global University
- R을 사용한 확률 및 데이터 소개: Duke University
