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

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
Status: Free Trial
University of Glasgow
Informed Clinical Decision Making using Deep Learning
Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Relational Databases, Electocardiography, Machine Learning, Machine Learning Methods, Applied Machine Learning, Image Analysis
4.3
Rating, 4.3 out of 5 stars
33 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University at Buffalo
Data-Driven Decision Making (DDDM)
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Literacy, Process Mapping, Data Ethics, Data Visualization, Data-Driven Decision-Making, Data Collection, Process Improvement, Data Visualization Software, Business Process, Business Analytics, Tableau Software, Analytics, Data Analysis, Root Cause Analysis, Minitab, Lean Methodologies, Six Sigma Methodology, Process Analysis
4.7
Rating, 4.7 out of 5 stars
460 reviews
Beginner · Specialization · 1 - 3 Months
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: 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, Data Cleansing, Exploratory Data Analysis, 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
264 reviews
Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
Vanderbilt University
From Data To Decision With AI
Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Generative AI, Data Literacy, Statistical Analysis, Data-Driven Decision-Making, Correlation Analysis, Technical Communication, Data Visualization, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Scatter Plots, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots, Analytical Skills
4.5
Rating, 4.5 out of 5 stars
12 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Arizona State University
Decision-Making for Everyone
Skills you'll gain: Decision Making, Creative Thinking, Problem Solving, Creative Problem-Solving, Strategic Decision-Making, Brainstorming, Complex Problem Solving, Critical Thinking and Problem Solving, Resourcefulness, Creativity, Curiosity, Strategic Thinking, Root Cause Analysis, Ethical Standards And Conduct, Risk Analysis, Innovation, Analytical Skills, Business Ethics, Analysis, Data Collection
4.3
Rating, 4.3 out of 5 stars
51 reviews
Beginner · Specialization · 3 - 6 Months
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, Data Strategy, Business Analytics, 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
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
Status: Free Trial
Johns Hopkins University
Data Science Decisions in Time
Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Data Science, Predictive Analytics, Strategic Decision-Making, Anomaly Detection, Probability Distribution, Cybersecurity, Statistical Analysis, Machine Learning Methods
Intermediate · Specialization · 3 - 6 Months
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