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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 Portfolio Managers: Smarter Asset Allocation

      Skills you'll gain: Portfolio Management, Asset Management, Investment Management, Generative AI, Investments, Prompt Engineering, Wealth Management, Artificial Intelligence, ChatGPT, Regulatory Compliance, Ethical Standards And Conduct, Risk Management, Risk Analysis, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      AI for Customer Experience with Chatbots and Analytics

      Skills you'll gain: Customer experience strategy (CX), AI Personalization, Customer Engagement, Predictive Analytics, Personalized Service, ChatGPT, Customer Service, Customer Insights, Loyalty Programs, Self Service Technologies, Data-Driven Decision-Making, Automation, Business Ethics, Artificial Intelligence, Generative AI, Return On Investment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI as a Creative or Expert Partner

      Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Generative AI, Artificial Intelligence, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      ITIL V4 Explanation of Service Value System & its Components

      Skills you'll gain: Customer experience improvement, Information Technology Infrastructure Library, IT Service Management, Service Management, Continuous Improvement Process, Service Improvement, Agile Methodology, Governance, User Feedback, Innovation, Process Improvement and Optimization, Automation

      5
      Rating, 5 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep AZ-400: Microsoft DevOps Engineer Expert

      Skills you'll gain: CI/CD, Authorization (Computing), Package and Software Management, Infrastructure as Code (IaC), Azure DevOps, Continuous Delivery, Authentications, Application Deployment, Continuous Integration, DevSecOps, DevOps, Security Controls, Continuous Deployment, Git (Version Control System), Performance Tuning, Agile Methodology, Identity and Access Management, Version Control, Microsoft Azure, Collaborative Software

      Advanced · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      203 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Virginia

      Coding Data Models with AI

      Skills you'll gain: Model View Controller, Version Control, Data Modeling, OpenAI, NoSQL, ChatGPT, Application Deployment, Software Development Tools, Generative AI, Google Cloud Platform, Databases, Database Development, Database Design, Artificial Intelligence, Integrated Development Environments, Secure Coding

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Applied Cryptography & Information Security

      Skills you'll gain: Cryptography, Encryption, Network Security, Advanced Encryption Standard (AES), Public Key Infrastructure, Data Security, Key Management, Cybersecurity, Blockchain, Virtual Private Networks (VPN), Information Privacy, Wireless Networks, Authentications, Data Integrity, Emerging Technologies

      Mixed · Course · 1 - 3 Months

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

      Packt

      Terraform Cloud - Automation, Workspaces, and Integration

      Skills you'll gain: Terraform, Amazon Web Services, Infrastructure as Code (IaC), Continuous Deployment, Cloud Management, AWS Identity and Access Management (IAM), Cloud Infrastructure, GitHub, OAuth, Version Control

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Analysis and Visualization with Generative AI in Excel

      Skills you'll gain: Microsoft Excel, Data Storytelling, Predictive Modeling, Data Visualization Software, Microsoft Copilot, Data Analysis, Data-Driven Decision-Making, Business Reporting, Forecasting, Data Manipulation, Trend Analysis, Generative AI Agents, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      YouTube Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Search Engine Optimization, Web Analytics, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Content Strategy, Marketing Channel, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Revenue Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Excel Data Analysis and DAX Essentials Course

      Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Productivity Software, Data Import/Export

      Beginner · Course · 1 - 4 Weeks

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    1…161718…178

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

    • GenAI for Portfolio Managers: Smarter Asset Allocation: Coursera Instructor Network
    • AI for Customer Experience with Chatbots and Analytics: Coursera Instructor Network
    • Use AI as a Creative or Expert Partner: Google
    • ITIL V4 Explanation of Service Value System & its Components: EDUCBA
    • Exam Prep AZ-400: Microsoft DevOps Engineer Expert: Whizlabs
    • Start Writing Prompts like a Pro: Google
    • Coding Data Models with AI: University of Virginia
    • Applied Cryptography & Information Security: Macquarie University
    • Terraform Cloud - Automation, Workspaces, and Integration: Packt
    • Data Analysis and Visualization with Generative AI in Excel: Microsoft

    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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