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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

    • U

      UBITS

      Mejora la estructura financiera de tu empresa

      Skills you'll gain: Strategic Decision-Making, Corporate Finance, Working Capital, Financial Analysis, Financial Planning, Financial Management, Financial Modeling, Cash Management, Growth Strategies, Capital Markets, Resource Allocation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Platform Product Revival

      Skills you'll gain: Sprint Retrospectives, Service Recovery, Drive Engagement, Technology Solutions, User Feedback, Customer Engagement, Technical Product Management, Change Management, Active Listening, Performance Review, User Experience, Decision Making, Continuous Improvement Process

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Datos para Avanzar en la Salud Poblacional

      Skills you'll gain: Health Policy, Health Equity, Health Disparities, Epidemiology, Data Quality, Public Health, Data Literacy, Health Informatics, Community Health, Public Health and Disease Prevention, Health Assessment, Data Governance, Health Systems, Data-Driven Decision-Making, Data Analysis, Data Management, Data Collection, Data Storytelling, Data Presentation, Policy Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Practical Engineering Data Mining: Techniques and Uses

      Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Sales Reps: Streamlining Lead Qualification

      Skills you'll gain: Sales Strategy, Lead Generation, Prospecting and Qualification, Sales Pipelines, Sales Process, Sales, Sales Management, Data-Driven Decision-Making, Generative AI Agents, Customer Relationship Management (CRM) Software, HubSpot CRM, Business Process Automation

      Intermediate · Course · 1 - 4 Weeks

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidades Anáhuac

      Blockchain Aplicado a los Negocios

      Skills you'll gain: Blockchain, Strategic Decision-Making, Data Storage, Business Strategy, Business Strategies, Internet Of Things, Emerging Technologies, FinTech, Cryptography, Business Technologies, Business Operations, Enterprise Security, Cybersecurity, Supply Chain Management, Contract Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Polski

      Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Generative AI, Artificial Intelligence, Google Cloud Platform, Business Ethics, Auditing, Governance, Accountability, Compliance Management, Decision Making

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      조직적 다양성, 형평성, 포용성의 핵심 개념

      Skills you'll gain: Diversity Equity and Inclusion Initiatives, Diversity and Inclusion, Diversity Awareness, Cultural Diversity, Intercultural Competence, Organizational Change, Behavior Management, Decision Making

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compensation Analysis in Law Firms

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Payroll, Generative AI, Employee Retention

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Data Querying in C#: Ecommerce Analytics API

      Skills you'll gain: Relational Databases, API Design, ASP.NET, Object-Relational Mapping, Databases, Query Languages, Back-End Web Development, Application Programming Interface (API), Restful API, Code Review, Database Design, SQL, Data Access, Data Manipulation, C# (Programming Language)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Maryland, College Park

      Co-Production in Adaptive Environmental Management

      Skills you'll gain: Agile Project Management, Stakeholder Engagement, Leadership, Team Leadership, Team Motivation, Strategic Leadership, Environmental Resource Management, Sustainability Reporting, Natural Resource Management, Innovation, Complex Problem Solving, Strategic Partnership

      Beginner · Course · 1 - 3 Months

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

    • Mejora la estructura financiera de tu empresa: UBITS
    • Platform Product Revival: University of Maryland, College Park
    • Datos para Avanzar en la Salud Poblacional: Johns Hopkins University
    • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
    • GenAI for Sales Reps: Streamlining Lead Qualification: Coursera Instructor Network
    • DataPrep for H2O Driverless AI: H2O.ai
    • Blockchain Aplicado a los Negocios: Universidades Anáhuac
    • Responsible AI: Applying AI Principles with GC - Polski: Google Cloud
    • 조직적 다양성, 형평성, 포용성의 핵심 개념: Rice University
    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network

    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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