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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

    • G

      Google Cloud

      Developing a Google SRE Culture - Português Brasileiro

      Skills you'll gain: Site Reliability Engineering, DevOps, Safety Culture, Culture Transformation, Change Management, Continuous Delivery, Organizational Change, Continuous Integration, Performance Measurement, Service Level, System Monitoring, Incident Management, Data-Driven Decision-Making, Automation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Starweaver

      Credit Risk Analysis and Underwriting

      Skills you'll gain: Credit Risk, Lending and Underwriting, Underwriting, Risk Analysis, Risk Management, Business Risk Management, Financial Analysis, Financial Statement Analysis, Corporate Finance, Financial Modeling, Stakeholder Communications, Performance Measurement, Balance Sheet, Cash Flows

      Intermediate · Course · 1 - 4 Weeks

    • 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
      C

      Coursera Instructor Network

      Nursing Fundamentals: Skills for Patient Care Excellence

      Skills you'll gain: Clinical Nursing, Nursing and Patient Care, Patient Education And Counseling, Nursing Process, Patient Evaluation, Health Assessment, Treatment Planning, Patient Safety, Care Management, Nursing Practices, Infection Control, Acute Care

      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

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

      Packt

      JavaScript Fundamentals & The DOM

      Skills you'll gain: Javascript, Event-Driven Programming, Data Structures, Programming Principles, HTML and CSS, Web Design and Development, Web Applications, Web Development Tools, Debugging

      Beginner · Course · 1 - 3 Months

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

      Universidades Anáhuac

      Modelos predictivos con Machine Learning

      Skills you'll gain: Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Unsupervised Learning, Statistical Analysis, Machine Learning, Data Manipulation, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Cash Flow Managers: Optimizing Liquidity Planning

      Skills you'll gain: Cash Flow Forecasting, Cash Management, Accounts Payable, Financial Forecasting, Risk Management, Generative AI, Data Ethics, Risk Mitigation, Financial Data, Business Process Automation, Accounts Receivable, Workflow Management, Regulatory Compliance, Compliance Training, International Financial Reporting Standards, Artificial Intelligence, ChatGPT, Automation, Prompt Engineering, Dashboard

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      AI for Cyber Security

      Skills you'll gain: Anomaly Detection, Cyber Threat Hunting, Intrusion Detection and Prevention, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity, Network Security, Threat Detection, Applied Machine Learning, Malware Protection, Network Analysis, Machine Learning, Machine Learning Algorithms, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Data Analytics Course with Generative AI

      Skills you'll gain: Exploratory Data Analysis, Generative AI, Analytics, Advanced Analytics, Business Analytics, Data Analysis, Extract, Transform, Load, Data Integration, Prompt Engineering, Interactive Data Visualization, Data Visualization, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Storytelling, Predictive Modeling, ChatGPT, Forecasting, Data Transformation, Descriptive Analytics

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Certified Six Sigma Yellow Belt Training

      Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights

      Beginner · Course · 3 - 6 Months

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

    • Developing a Google SRE Culture - Português Brasileiro: Google Cloud
    • Credit Risk Analysis and Underwriting: Starweaver
    • Getting Started with Terraform for Google Cloud - 日本語版: Google Cloud
    • Nursing Fundamentals: Skills for Patient Care Excellence: Coursera Instructor Network
    • H2O Generative AI Starter Track: H2O.ai
    • JavaScript Fundamentals & The DOM: Packt
    • Modelos predictivos con Machine Learning: Universidades Anáhuac
    • ASP.NET Core Fundamentals and Environment Setup: Packt
    • GenAI for Cash Flow Managers: Optimizing Liquidity Planning: Coursera Instructor Network
    • AI for Cyber Security: Macquarie 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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