What is a decision tree?

A decision tree describes a flowchart or algorithm that analyzes the pathway toward making a decision. The basic flow of a decision based on data starts at a single node and moves through branches into two or more directions, giving the appearance of a tree, so to speak. Each branch offers a different possible outcome, depending on the decisions made and random events that occur. A decision tree is often used in data science and data analytics, but can also be used in evaluating decision-making processes in other areas of a company, like human resources, operations, and inventory management.

Why is it important to learn about decision trees?

Decision trees are important because they serve to make visual these complex data parts into manageable pieces of information. Humans can better understand what decisions need to be made when they flow through a decision tree. An example of a decision tree in visual form might show where each level needs to have a decision made for it. As each of the answers are chosen, this visual pathway will eventually help you to come to a decision about the initial problem. This is why decision trees are important. When used in areas like machine learning, data regression, prediction analysis, and data classification, decision trees can ramp up the capacity to tackle complicated decision tasks.

What types of jobs can you get by learning decision trees?

Typical jobs that use decision trees include data integration developer, data scientist, decision tree analysis expert, automation development manager, and similar roles that seek to organize and manage data flows. These jobs are often aligned with software programming jobs, so learning about programming can help to better understand the data analysis needed in decision tree work. Decision trees are also used in other work areas, like operations and HR, so learning decision trees may be able to help you work in these functions as well.

How can online courses help me learn about decision trees?

When you take an online course to learn about decision trees, you might learn to think more analytically about the decision-making process and the steps involved in looking at different angles of a problem. You may also learn about the basic steps to visualizing a problem, and how to use sets of data to do that. Taking online courses to learn decision trees may also prepare you for eventual interest in machine learning models using top industry tools.

What are the benefits of taking an online Decision Tree course?

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

What Decision Tree courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Decision Tree, 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 Decision Tree Courses - Learn Decision Tree Online

Explore the Decision Tree Course Catalog

Status: Free
Indian School of Business
A Life of Happiness and Fulfillment
Skills you'll gain: Optimism, Resilience, Growth Mindedness, Psychology, Personal Development, Decision Making, Self-Awareness, Emotional Intelligence, Stress Management, Goal Setting
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Mixed · Course · 1 - 3 Months
Deep Teaching Solutions
Critical Thinking for Better Decisions in the ChatGPT Era
Skills you'll gain: Critical Thinking, Decision Making, Emotional Intelligence, Behavioral Economics, ChatGPT, Systems Thinking, Deductive Reasoning
4.7
Rating, 4.7 out of 5 stars
46 reviews
Beginner · Course · 1 - 4 Weeks
University of Minnesota
Simulation Models for Decision Making
Skills you'll gain: Probability Distribution, Probability, Simulation and Simulation Software, Statistics, Microsoft Excel, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Statistical Analysis, Decision Making, Data Analysis
4.5
Rating, 4.5 out of 5 stars
52 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Machine Learning Pipelines with Azure ML Studio
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
4.5
Rating, 4.5 out of 5 stars
793 reviews
Beginner · Guided Project · Less Than 2 Hours
Arizona State University
Decision-Making
Skills you'll gain: Decision Making, Strategic Decision-Making, Complex Problem Solving, Critical Thinking and Problem Solving, Creative Problem-Solving, Ethical Standards And Conduct, Critical Thinking, Resourcefulness, Risk Analysis, Business Ethics, Analysis
4.5
Rating, 4.5 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of London
The Manager's Toolkit: A Practical Guide to Managing People at Work
Skills you'll gain: People Management, Conflict Management, Team Motivation, Leadership, Human Resources Management and Planning, Employee Performance Management, Performance Management, People Development, Leadership and Management, Performance Appraisal, Interviewing Skills, Decision Making, Compensation Management, Recruitment
4.7
Rating, 4.7 out of 5 stars
4.2K reviews
Mixed · Course · 1 - 3 Months
Dartmouth College
Decision-Making: Blending Art & Science
Skills you'll gain: Decision Making, Strategic Decision-Making, Self-Awareness, Emotional Intelligence, Critical Thinking, Behavioral Economics, Problem Solving, Dealing With Ambiguity, Goal Setting, Business Risk Management, Business Strategy, Overcoming Obstacles
4.8
Rating, 4.8 out of 5 stars
171 reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, IBM DB2, Extract, Transform, Load, Data Management, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
16K reviews
Beginner · Professional Certificate · 3 - 6 Months
PwC
Data-driven Decision Making
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Big Data, Analytical Skills, Analysis, Data Visualization, Data Science, Statistical Analysis, Data Visualization Software, Data Processing, Decision Making, Data Collection
4.6
Rating, 4.6 out of 5 stars
6.1K reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Business Analytics for Decision Making
Skills you'll gain: Business Analytics, Risk Analysis, Decision Making, Business Intelligence, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months