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

Explore the Random Forest Course Catalog

University of California, Santa Cruz
Bayesian Statistics: From Concept to Data Analysis
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Statistical Analysis, Mathematics, R Programming, Data Analysis, Estimation, Statistical Programming
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Intermediate · Course · 1 - 4 Weeks
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Basic Descriptive Statistics, Probability Distribution, Statistical Tests, Biostatistics, Epidemiology, R Programming
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Text Mining and Analytics
Skills you'll gain: Data Analysis, Data Mining, Natural Language Processing, Probability & Statistics, Machine Learning, Bayesian Statistics, General Statistics, Machine Learning Algorithms, Probability Distribution, Mathematical Theory & Analysis
4.5
Rating, 4.5 out of 5 stars
729 reviews
Mixed · Course · 1 - 3 Months
University of Colorado System
Applied Cryptography
Skills you'll gain: Cryptography, Security Engineering, Algorithms, Mathematics, Theoretical Computer Science, Critical Thinking, Mathematical Theory & Analysis, System Security, Computer Security Models, Cyberattacks, Probability Distribution, Software Security, Applied Mathematics, Computational Logic, BlockChain, Computational Thinking, Leadership and Management
4.5
Rating, 4.5 out of 5 stars
834 reviews
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
أسس القيادة اليومية
Skills you'll gain: Leadership and Management, Exploratory Data Analysis, Decision Making, Leadership Development, Probability Distribution, Strategy, System Software, C Programming Language Family, Communication, E-Commerce, Operational Analysis
4.9
Rating, 4.9 out of 5 stars
122 reviews
Mixed · Course · 1 - 3 Months
Status: [object Object]
Meta
Meta Data Analyst
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Experiment, General Statistics, Marketing, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Storytelling, Tableau Software
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California, Santa Cruz
Bayesian Statistics
Skills you'll gain: Probability & Statistics, Bayesian Statistics, Probability Distribution, General Statistics, Statistical Analysis, R Programming, Statistical Programming, Mathematics, Regression, Data Analysis, Estimation, Machine Learning, Markov Model, Forecasting
4.6
Rating, 4.6 out of 5 stars
3.5K reviews
Intermediate · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Data Mining
Skills you'll gain: Machine Learning, Data Analysis, Data Mining, Machine Learning Algorithms, Natural Language Processing, Probability & Statistics, Data Visualization, Bayesian Statistics, General Statistics, Probability Distribution, Statistical Programming, Algorithms, Mathematical Theory & Analysis, Python Programming, Data Visualization Software
4.5
Rating, 4.5 out of 5 stars
2.9K reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Statistics with Python
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Basic Descriptive Statistics, Probability Distribution, Python Programming, Statistical Visualization, Statistical Programming, Plot (Graphics), Regression, Correlation And Dependence, Critical Thinking, Data Visualization, Computer Programming, Data Model, Bayesian Statistics
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Beginner · Specialization · 1 - 3 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Probability Distribution, Bayesian Network, R Programming, Statistical Programming, Statistical Tests
3.8
Rating, 3.8 out of 5 stars
794 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Universidad Austral
Estadística aplicada a los negocios
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Data Analysis, General Statistics, Probability & Statistics, Calculus, Correlation And Dependence, Probability Distribution, Exploratory Data Analysis, Mathematical Theory & Analysis, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
748 reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Inferential and Predictive Statistics for Business
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Tests, Basic Descriptive Statistics, Correlation And Dependence, Decision Making, Regression
4.8
Rating, 4.8 out of 5 stars
857 reviews
Intermediate · Course · 1 - 3 Months