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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
      L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Safety Assurance, Environmental Regulations, Accident Prevention, Environment and Resource Management, Big Data, Plant Operations and Management, Waste Minimization, Fire And Life Safety, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Processing, Process Control, Electric Power Systems, Applied Machine Learning, Manufacturing and Production, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Collaboration For Everyone

      Skills you'll gain: Decision Making, Public Speaking, Problem Solving, Positivity, Lecturing, Presentations, Storytelling, Optimism, Communication, Strategic Decision-Making, Persuasive Communication, Verbal Communication Skills, Complex Problem Solving, Critical Thinking and Problem Solving, Communication Strategies, Creative Problem-Solving, Empowerment, Brainstorming, Growth Mindedness, Independent Thinking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Power BI for Beginners: Build your First Report

      Skills you'll gain: Data Transformation, Power BI, Data Manipulation, Data Cleansing, Data Processing, Dashboard, Data Presentation, Data Import/Export, Interactive Data Visualization, Data Visualization Software, Business Intelligence, Data Storytelling, Data Modeling, Business Reporting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      73 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Design Thinking and Predictive Analytics for Data Products

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Manipulation, Applied Machine Learning, Design Thinking, Advanced Analytics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Science, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Tensorflow, Statistical Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, Version Control, Cloud Development, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Serverless Computing, Docker (Software)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      273 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Slides

      Skills you'll gain: Presentations, Google Workspace, Productivity Software, Sales Presentations, Version Control, Collaborative Software, Multimedia, Data Sharing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      201 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      167 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Compensation and Benefits Analyst

      Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Job Evaluation, Benefits Administration, Data Collection, Compensation and Benefits, Job Analysis, Data-Driven Decision-Making, Microsoft Excel, Project Management, Data Analysis, Google Sheets, Human Resource Policies, Regulatory Compliance, Labor Compliance, Human Resource Strategy, Payroll, Human Resources, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Business Strategy in Practice (Project-centered Course)

      Skills you'll gain: Peer Review, Organizational Strategy, Business Research, Project Management, Business Strategy, Competitive Analysis, Business Analysis, Strategic Decision-Making, Business Communication, Analysis, Report Writing, Business Writing, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      188 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SoFi

      Introduction to Personal Finance

      Skills you'll gain: Goal Setting, Budgeting, Tax, Financial Planning, Cash Flow Forecasting, Financial Analysis, Income Tax, Credit Risk, Finance, Expense Management, Financial Management, Decision Making, Investments, Self-Awareness

      4.6
      Rating, 4.6 out of 5 stars
      ·
      202 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Petroleum Engineering with AI Applications: L&T EduTech
    • Collaboration For Everyone: Arizona State University
    • Power BI for Beginners: Build your First Report: Coursera Project Network
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
    • Full Stack Software Developer Assessment: IBM
    • Google Slides: Google Cloud
    • Business Analytics: Campus BBVA
    • ADP Entry-Level Compensation and Benefits Analyst: Automatic Data Processing, Inc. (ADP)
    • Business Strategy in Practice (Project-centered Course): University of Virginia

    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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