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: New
Status: Free Trial
University of Virginia
Coding Data Models with AI
Skills you'll gain: Model View Controller, Version Control, Data Modeling, OpenAI, NoSQL, ChatGPT, Application Deployment, Software Development Tools, Generative AI, Google Cloud Platform, Databases, Database Development, Database Design, Artificial Intelligence, Integrated Development Environments, Secure Coding
Beginner · Course · 1 - 4 Weeks
Google Cloud
Boost Productivity with Gemini in BigQuery - Português
Skills you'll gain: Data Processing, Data Analysis, Google Cloud Platform, Big Data, Data-Driven Decision-Making, Data Cleansing, Data Manipulation, Generative AI, Artificial Intelligence, Interactive Data Visualization, SQL, Problem Management
Beginner · Course · 1 - 4 Weeks
Status: New
Google Cloud
Google Cloud 数据分析功能简介
Skills you'll gain: Looker (Software), Data Transformation, Google Analytics, Google Cloud Platform, Analytics, Data Manipulation, Data-Driven Decision-Making, Big Data, Interactive Data Visualization, Data Analysis, Data Presentation, Data Lakes, Data Processing, Dashboard, Data Visualization Software, SQL, Data Storage, Data Sharing, Data Storage Technologies, Exploratory Data Analysis
Beginner · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
Master Compliance with MS 365 Copilot: EU Law
Skills you'll gain: Compliance Management, Microsoft Copilot, Regulation and Legal Compliance, Legal Risk, Compliance Reporting, General Data Protection Regulation (GDPR), Microsoft 365, Audit Working Papers, Process Design, Workflow Management, Business Workflow Analysis, Automation, Prompt Engineering
Advanced · Course · 1 - 4 Weeks
Status: New
Google Cloud
Pengantar Analisis Data di Google Cloud
Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Visualization Software, Dashboard, Data Analysis, Analytics, Google Cloud Platform, Big Data, SQL, Exploratory Data Analysis, Business Intelligence, Cloud Storage, Data Warehousing
Beginner · Course · 1 - 3 Months
Status: New
Coursera
Facebook Analytics: Optimize Performance
Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Data-Driven Decision-Making, Social Media, Digital Media Strategy, Social Media Management, Social Media Strategy, Trend Analysis, Performance Analysis, Performance Metric, Key Performance Indicators (KPIs)
Beginner · Course · 1 - 4 Weeks
Status: New
Google Cloud
Google Cloud 資料分析簡介
Skills you'll gain: Looker (Software), Dashboard, Data Analysis, Data Presentation, Data Storytelling, Analytics, SQL, Google Cloud Platform, Big Data, Data Visualization Software, Applied Machine Learning, Data Warehousing, Data-Driven Decision-Making
Beginner · Course · 1 - 3 Months
Status: New
Google Cloud
Introduction à l'analyse de données sur Google Cloud
Skills you'll gain: Data-Driven Decision-Making, Looker (Software), Data Analysis, Analytics, Big Data, Cloud Storage, Google Cloud Platform, Data Storage, Data Visualization Software, Data Warehousing, SQL
Beginner · Course · 1 - 3 Months
Status: Free Trial
Microsoft
R Programming Essentials with Microsoft Tools
Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Manipulation, Software Documentation, R Programming, Microsoft Copilot, Microsoft Visual Studio, Program Development, Data Import/Export, Statistical Analysis, Development Environment, Integrated Development Environments, Descriptive Statistics, Statistical Programming, Data Cleansing, Data Analysis, Programming Principles, Debugging, Data Structures
Beginner · Course · 1 - 3 Months
Status: New
Google Cloud
Google Cloud 기반 데이터 분석 입문
Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Analytics, Big Data, Business Analytics, Google Cloud Platform, Data Visualization Software, Data Transformation, Interactive Data Visualization, Data Cleansing, Data Warehousing, Data Storage, SQL
Beginner · Course · 1 - 3 Months
Indian School of Business
Certificate in Strategic Leadership
Skills you'll gain: Business Strategy, Crisis Management, Strategic Thinking, Strategic Leadership, Professional Development, Business Leadership, Growth Strategies, Business Modeling, Leadership Development, Leadership, Leadership and Management, Competitive Analysis, Stakeholder Communications, Executive Presence, Competitive Intelligence, Team Leadership, Strategic Decision-Making, Business Development, Value Propositions, Market Analysis
University Certificate · 6 - 12 Months
University of Leeds
Master of Science in Data Science (Statistics)
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Bayesian Statistics, Web Scraping, Data Analysis
Earn a degree
Degree · 1 - 4 Years