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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: 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
      Status: Free Trial
      Free Trial
      P

      Packt

      Complete ASP.NET Core and Entity Framework Development

      Skills you'll gain: GitHub, Model View Controller, ASP.NET, Application Deployment, Git (Version Control System), Microsoft Azure, Cloud Applications, Software Architecture, Database Development, .NET Framework, Scalability, C# (Programming Language), Version Control, Authentications, User Interface (UI), Back-End Web Development, Bootstrap (Front-End Framework), Database Management, Database Design, Software Design

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Visio for Professionals: Diagrams & Flowchart Design

      Skills you'll gain: Microsoft Visio, Process Flow Diagrams, Collaborative Software, Process Design, Data Visualization, Process Mapping, Workflow Management, Business Workflow Analysis, Organizational Structure, Real Time Data, Data Integration, Process Improvement

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      G

      Google Cloud

      Introducción al análisis de datos en Google Cloud

      Skills you'll gain: Looker (Software), Data Analysis, Dashboard, Analytics, Data Cleansing, Data Presentation, Data Visualization Software, Big Data, Data Manipulation, Data Processing, Cloud Storage, Data Transformation, Data-Driven Decision-Making, Google Cloud Platform, SQL, Data Storage, Data Warehousing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      CyberPatriot

      Skills you'll gain: Cybersecurity, Microsoft Windows, Computer Security Awareness Training, Information Systems Security, Linux, Network Security, Linux Commands, Data Ethics, Data Security, Virtualization and Virtual Machines, Ethical Standards And Conduct, Hardening, Command-Line Interface, Virtual Machines, Operating Systems, Personally Identifiable Information, User Accounts, Computer Hardware, File Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Developing a Google SRE Culture - Português Brasileiro

      Skills you'll gain: Site Reliability Engineering, Safety Culture, DevOps, Continuous Delivery, Culture Transformation, Service Level, Continuous Integration, Staff Management, System Monitoring, Capacity Management, Incident Management, Design Thinking, Automation, Data-Driven Decision-Making

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Performance Reviews: Streamline Feedback Processes

      Skills you'll gain: Performance Review, Generative AI Agents, Employee Performance Management, AI Personalization, Workforce Development, Employee Coaching, People Development, Human Resource Strategy, Constructive Feedback, Performance Analysis, Automation, Data-Driven Decision-Making, Continuous Improvement Process, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      H

      H2O.ai

      H2O Generative AI Starter Track

      Skills you'll gain: Prompt Engineering, Generative AI, Document Management, Artificial Intelligence, Technical Communication, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Configuration Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Getting Started with Terraform for Google Cloud - 日本語版

      Skills you'll gain: Infrastructure as Code (IaC), Terraform, Google Cloud Platform, Cloud Infrastructure, Configuration Management, Command-Line Interface, Version Control

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      ASP.NET Core Fundamentals and Environment Setup

      Skills you'll gain: GitHub, Model View Controller, ASP.NET, Git (Version Control System), .NET Framework, Version Control, Bootstrap (Front-End Framework), Responsive Web Design, Microsoft Visual Studio, Development Environment, Application Frameworks, Program Development, Full-Stack Web Development, Web Design and Development, Configuration Management

      Beginner · Course · 1 - 3 Months

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

    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
    • Data Querying in C#: Ecommerce Analytics API: Coursera Project Network
    • Complete ASP.NET Core and Entity Framework Development: Packt
    • Visio for Professionals: Diagrams & Flowchart Design: Coursera Instructor Network
    • Co-Production in Adaptive Environmental Management: University of Maryland, College Park
    • Introducción al análisis de datos en Google Cloud: Google Cloud
    • CyberPatriot: Packt
    • Developing a Google SRE Culture - Português Brasileiro: Google Cloud
    • GenAI for Performance Reviews: Streamline Feedback Processes: Coursera Instructor Network
    • H2O Generative AI Starter Track: H2O.ai

    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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