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    • Decision Tree

    Decision Tree Courses Online

    Understand decision tree algorithms for classification and regression. Learn to build and interpret decision trees for data analysis.

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    Explore the Decision Tree Course Catalog

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Financial Services

      3.7
      Rating, 3.7 out of 5 stars
      ·
      814 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Intuit

      Financial Statement Analysis

      Skills you'll gain: Reconciliation, Financial Statements, Financial Statement Analysis, Income Statement, Balance Sheet, Financial Analysis, Accounting, Analysis, Cash Flows, Sales Tax, Equities, Payroll

      4.6
      Rating, 4.6 out of 5 stars
      ·
      665 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, Kanban Principles, User Story, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Autoridad, dirección y liderazgo

      Skills you'll gain: Delegation Skills, Supervision, Management Training And Development, Team Leadership, Leadership, Organizational Leadership, Strategic Leadership, Coordinating, Personal Development, Motivational Skills, Business Management, Decision Making, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Web Development

      Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Impact Measurement & Management for the SDGs

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Sustainability Reporting, Performance Measurement, Stakeholder Engagement, Investment Management, Governance, Key Performance Indicators (KPIs), Benchmarking, Asset Management, Data-Driven Decision-Making, Verification And Validation, Due Diligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      616 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Designing the Organization

      Skills you'll gain: Organizational Structure, Governance, Organizational Strategy, Organizational Effectiveness, Organizational Change, Business Management, Innovation, Systems Thinking, Business Strategies, Growth Strategies, Decision Making

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Negotiation Fundamentals

      Skills you'll gain: Negotiation, Contract Negotiation, Active Listening, Communication, Communication Strategies, Interpersonal Communications, Conflict Management, Strategic Partnership, Relationship Building, Overcoming Objections, Leadership, Value Propositions, Mediation, Stakeholder Management, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      153 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Data Analysis and Interpretation: Wesleyan University
    • Financial Statement Analysis: Intuit
    • Managing an Agile Team: University of Virginia
    • Practical Machine Learning: Johns Hopkins University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Autoridad, dirección y liderazgo: Universidad Nacional Autónoma de México
    • Introduction to Web Development: University of California, Davis
    • Impact Measurement & Management for the SDGs: Duke University
    • Designing the Organization: University of Illinois Urbana-Champaign

    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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