What is random forest?

Random forest is a classification algorithm that is a collection of various decision trees. It is a classification algorithm that, with the combination of trees, helps increase the overall results. Random forest is used for classification and regression tasks and shows how many uncorrelated pieces can produce more accurate predictions than the individual ones.

Why is random forest important to learn?

Random forest is important to learn because it will help you advance in your data-related career. It will give you skills to perform more accurate tests and help you achieve results with a low prediction error. It is also important to learn random forest because it is widely used and helps you maintain the accuracy of large data even with missing variables. Learning random forest will save you time while providing better, more accurate results.

What are typical careers that use random forest?

Some typical careers that use random forest are data scientists and analytic jobs. In these careers, you will use random forest to analyze data and come up with predictions based on the results. The data gathered and analyzed can be from many different areas. This can include medical data to predict diseases or illnesses, market data to predict sales, or use data to predict the number of cars rented by season, for example. In an analytic job and as a data scientist you will use random forest to come up with accurate predictions.

How can online courses help me learn about random forest?

Online courses will help you learn about random forest because they will offer video lectures, readings, and examples to explain the material to you. These courses will give you the chance to practice and demonstrate your knowledge with various assignments or projects on different software. Online courses will also help you learn random forest by giving you the flexibility to study on your own time while having access to the material and experts that will guide you along the course.

What are the benefits of taking an online Random Forest course?

Online Random Forest courses offer a convenient and flexible way to enhance your knowledge or learn new Random Forest skills. Choose from a wide range of Random Forest courses offered by top universities and industry leaders tailored to various skill levels.

What Random Forest courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Random Forest, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Random Forest Courses - Learn Random Forest Online

Filter by

Subject
Required

Data Science(240)

Business(46)

Computer Science(34)

Physical Science and Engineering(19)

Language
Required

The language used throughout the course, in both instruction and assessments.

English(341)

Spanish(206)

French(198)

Portuguese (Brazil)(193)

Learning Product
Required

Guided Projects(30)

Build job-relevant skills in under 2 hours with hands-on tutorials.

Courses(277)

Learn from top instructors with graded assignments, videos, and discussion forums.

Projects(6)

Learn a new tool or skill in an interactive, hands-on environment.

Specializations(60)

Get in-depth knowledge of a subject by completing a series of courses and projects.

Professional Certificates(4)

Earn career credentials from industry leaders that demonstrate your expertise.

MasterTrack® Certificates(1)

Earn career credentials while taking courses that count towards your Master’s degree.

Degrees(3)

Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Beginner(147)

Intermediate(165)

Advanced(22)

Mixed(43)

Duration
Required

Less Than 2 Hours(36)

1-4 Weeks(114)

1-3 Months(167)

3-6 Months(60)

6-12 Months(1)

1-4 Years(3)

Skills
Required

Statistical Analysis(155)

Data Analysis(149)

Probability Distribution(144)

Sampling (Statistics)(142)

Subtitles
Required

English(355)

Spanish(213)

French(209)

Arabic(203)

Educator
Required

Johns Hopkins University(31)

Coursera Project Network(30)

University of Colorado Boulder(29)

University of Michigan(18)

Explore the Random Forest Course Catalog

University of Michigan
Muestreo de personas, redes y registros
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Research Design, Statistical Software, Network Analysis
Beginner · Course · 1 - 3 Months
American Psychological Association
Intro to Null Hypothesis Significance Testing with z-test
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability
Beginner · Course · 1 - 3 Months
Scrimba
API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript)
Skills you'll gain: JSON, Application Programming Interface (API), Restful API, Javascript, Web Applications, Data Access, Hypertext Markup Language (HTML), Servers, Cascading Style Sheets (CSS)
Intermediate · Course · 1 - 4 Weeks
Packt
The STATA OMNIBUS: Regression and Modelling with STATA
Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Sample Size Determination, Simulations, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics, Graphical Tools
Beginner · Course · 3 - 6 Months
Johns Hopkins University
Household Surveys for Program Evaluation in LMICs
Skills you'll gain: Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Mapping, Data Ethics, Probability & Statistics
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Исследование и генерация данных для принятия бизн.-реш.
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Statistical Analysis, Statistical Visualization, Statistical Methods, Statistical Inference, Data Visualization, Microsoft Excel, Probability Distribution, Data Presentation
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Data Processing and Manipulation
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Descriptive Statistics, Statistical Methods
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science Decisions in Time: Using Causal Information
Skills you'll gain: Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Business Analytics, Decision Making, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, Machine Learning
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Analysis and Interpretation of Large-Scale Programs
Skills you'll gain: Program Evaluation, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Statistical Methods, Sampling (Statistics), Stata, Regression Analysis, Data Quality, Data Presentation
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Status: Free
Duke University
R을 사용한 확률 및 데이터 소개
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Descriptive Statistics, Scatter Plots, Histogram, Box Plots
Beginner · Course · 1 - 3 Months
Status: Free
University of Maryland, College Park
Cómo combinar y analizar datos complejos
Skills you'll gain: Data Integration, Data Ethics, R Programming, Data Sharing, Statistical Methods, Statistical Analysis, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Modeling, Descriptive Statistics, Information Privacy
Mixed · Course · 1 - 4 Weeks

Random Forest learners also search

Random Forests

Python Machine Learning

Python for Machine Learning

Computational Science

Mathematics for Machine Learning

MATLAB

Python Excel

Machine Learning Andrew Ng

1…29 30 31…32

In summary, here are 10 of our most popular random forest courses

Muestreo de personas, redes y registros: University of Michigan
Intro to Null Hypothesis Significance Testing with z-test: American Psychological Association
API Basics 1: Build a Bot (Fetch, JSON & Async JavaScript): Scrimba
The STATA OMNIBUS: Regression and Modelling with STATA: Packt
Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
Исследование и генерация данных для принятия бизн.-реш.: University of Illinois Urbana-Champaign
Data Processing and Manipulation: University of Colorado Boulder
Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
Computational and Graphical Models in Probability: Johns Hopkins University

Random Forest Courses Online