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
Microsoft
AI-Enhanced Data Analysis: From Raw Data to Deep Insights
Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing
4.3
Rating, 4.3 out of 5 stars
258 reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Decision Tree Classifier for Beginners in R
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Classification Trees in Python, From Start To Finish
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing
4.6
Rating, 4.6 out of 5 stars
231 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Pennsylvania
Decision-Making and Scenarios
Skills you'll gain: Financial Statements, Financial Modeling, Strategic Decision-Making, Decision Making, Business Analytics, Financial Forecasting, Capital Budgeting, Financial Analysis, Return On Investment, Income Statement, Balance Sheet, Risk Analysis, Cash Flows, Spreadsheet Software
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Preview
EDUCBA
Predictive Analytics Model for Term Deposit Investment
Skills you'll gain: Classification And Regression Tree (CART), Predictive Analytics, Decision Tree Learning, Data-Driven Decision-Making, Marketing Analytics, Data Analysis, Feature Engineering, Statistical Modeling, Financial Forecasting, Marketing, Supervised Learning, Data Cleansing, Machine Learning Methods, Data Transformation, Program Standards
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Preview
EDUCBA
R: Design & Evaluate Random Forests for Attrition
Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics
Mixed · Course · 1 - 4 Weeks

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Status: New
Status: Free Trial
EDUCBA
PySpark: Apply & Evaluate Predictive ML Models
Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
Mixed · Course · 1 - 4 Weeks
Status: New
Status: Preview
EDUCBA
Python: Implement & Evaluate Random Forests for ML
Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Duke University
Data-Driven Decision-Making for Agile Organizations
Skills you'll gain: Strategic Decision-Making, Dealing With Ambiguity, Strategic Planning, Performance Metric, Performance Analysis, Performance Measurement, Customer Analysis, Adaptability, Decision Making, Dashboard, Strategic Thinking, Data-Driven Decision-Making, Business Metrics, Business Analytics, Business Intelligence, Data Science, Data Analysis, Operational Efficiency, Risk Management, Change Management
4.5
Rating, 4.5 out of 5 stars
22 reviews
Intermediate · Specialization · 1 - 4 Weeks
Status: New
Packt
Advanced Game AI with Behavior Trees in Unity 6
Skills you'll gain: Unity Engine, Debugging, Artificial Intelligence, Video Game Development, Scalability, Object Oriented Programming (OOP), Algorithms, Performance Tuning
Advanced · Course · 1 - 3 Months
Status: Free Trial
Google
The Nuts and Bolts of Machine Learning
Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
4.8
Rating, 4.8 out of 5 stars
558 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
University of California, Irvine
Effective Problem-Solving and Decision-Making
Skills you'll gain: Creative Problem-Solving, Problem Solving, Decision Making, Creativity, Organizational Effectiveness, Critical Thinking and Problem Solving, Strategic Decision-Making, Key Performance Indicators (KPIs), Professional Development, Root Cause Analysis, Personal Development, Critical Thinking, Adaptability, Analysis, Analytical Skills
4.6
Rating, 4.6 out of 5 stars
7.4K reviews
Beginner · Course · 1 - 4 Weeks