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Decision Tree Courses

Decision tree courses can help you learn how to create, interpret, and optimize decision trees for data analysis, classification, and regression tasks. You can build skills in feature selection, model evaluation, and understanding overfitting versus underfitting. Many courses introduce tools like Python's scikit-learn, R's rpart, and various visualization software, that support implementing decision trees and analyzing their performance in real-world datasets.


Popular Decision Tree Courses and Certifications


  • Status: New
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    Google

    Google Data-Driven Decision Making

    Skills you'll gain: Data Visualization, Data Ethics, Data Integrity, Data Analysis, Tableau Software, Stakeholder Communications, Sample Size Determination, Responsible AI, Verbal Communication Skills, Small Data, Decision Making, Stakeholder Analysis, Sampling (Statistics), Key Performance Indicators (KPIs), Big Data, Data Sharing, Statistics, Spreadsheet Software, Concision, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    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
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    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    L

    LearnQuest

    Decision-Making in Dynamic Environments

    Skills you'll gain: Reinforcement Learning, Responsible AI, Agentic systems, Data Ethics, Artificial Intelligence, Machine Learning Methods, Distributed Computing, Simulations

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    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
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    472 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    U

    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

    4.4
    Rating, 4.4 out of 5 stars
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    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    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
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    232 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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  • Status: Free Trial
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    D

    Duke University

    Data-Driven Decision-Making for Agile Organizations

    Skills you'll gain: Strategic Decision-Making, Dealing With Ambiguity, Performance Analysis, Customer Analysis, Performance Measurement, Adaptability, Decision Making, Strategic Prioritization, Dashboard, Strategic Thinking, Data-Driven Decision-Making, Market Opportunities, Business Metrics, Business Analytics, Business Intelligence, Data Science, Data Analysis, Operational Efficiency, Risk Management, Change Management

    4.4
    Rating, 4.4 out of 5 stars
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    33 reviews

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: New
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    E

    Edureka

    AI-Powered Decision Intelligence

    Skills you'll gain: Responsible AI, Data Storytelling, Data Presentation, Predictive Modeling, Decision Support Systems, Operational Efficiency, Automation, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    U

    University of Cambridge

    The science of mind and decision making

    Skills you'll gain: Childhood Education and Development, Human Learning, Child Development, Psychology, Teaching, Decision Making, Learning Theory, Instructional Strategies, Learning Strategies, Empathy, Neurology, Magnetic Resonance Imaging, Disabilities, Autism Spectrum Disorders, Medical Imaging, Special Education, Electrophysiology, Human Development, Non-Verbal Communication, Psychiatry

    4.6
    Rating, 4.6 out of 5 stars
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    89 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    V

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    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
    New
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    K

    Khalifa University

    AI for Executives: AI for Business Decision Making

    Skills you'll gain: Feature Engineering, Responsible AI, Strategic Decision-Making, Data-Driven Decision-Making, Data Ethics, Business Intelligence, Business Analytics, Natural Language Processing, LLM Application, Large Language Modeling, Artificial Intelligence, Predictive Analytics, Advanced Analytics, Data Governance, Predictive Modeling, Systems Integration, Business Strategy, Business Ethics, Workflow Management, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

Searches related to decision tree

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In summary, here are 10 of our most popular decision tree courses

  • Google Data-Driven Decision Making: Google
  • Decision Tree Classifier for Beginners in R: Coursera
  • Decision-Making in Dynamic Environments: LearnQuest
  • Data-Driven Decision Making (DDDM): University at Buffalo
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Classification Trees in Python, From Start To Finish: Coursera
  • Data-Driven Decision-Making for Agile Organizations: Duke University
  • AI-Powered Decision Intelligence: Edureka
  • The science of mind and decision making: University of Cambridge
  • From Data To Decision With AI: Vanderbilt University

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about 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.‎

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.‎

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.‎

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.‎

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.‎

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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