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    • Feature Engineering

    Feature Engineering Courses Online

    Explore feature engineering for improving machine learning models. Learn to create, select, and transform features for model accuracy.

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    Explore the Feature Engineering Course Catalog

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Ideation, Verification And Validation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Facebook Storytelling: Write Compelling Stories

      Skills you'll gain: Writing, Storytelling, Copywriting, Persuasive Communication, Facebook, Content Creation, Social Media Content, Social Media, Drive Engagement, Prompt Engineering, Generative AI Agents

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design, Image Analysis, Content Management

      Beginner · Course · 1 - 4 Weeks

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

      University of Colorado Boulder

      Object-Oriented Analysis & Design

      Skills you'll gain: Object Oriented Design, Unified Modeling Language, JUnit, Object Oriented Programming (OOP), Test Driven Development (TDD), Software Design Patterns, Software Design, Software Engineering, Java, Unit Testing, Software Testing, Software Architecture, Java Programming, User Interface and User Experience (UI/UX) Design, API Design, Model View Controller, Software Development, Systems Analysis, Conceptual Design, Data Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Introduction to Six Sigma Training

      Skills you'll gain: Lean Methodologies, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Business Process, Quality Management, Process Mapping, Operational Efficiency, Continuous Improvement Process, Waste Minimization, Key Performance Indicators (KPIs), Root Cause Analysis, Product Development, Risk Analysis

      Beginner · Course · 1 - 4 Weeks

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

      Microsoft

      Product Strategy and Roadmapping

      Skills you'll gain: Product Roadmaps, Product Strategy, User Story, Agile Product Development, Product Management, Stakeholder Management, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, User Requirements Documents, Project Management, Innovation, Technology Strategies, Change Management, Cloud Platforms, Market Research, Prioritization

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Lean Management and Six Sigma Green Belt Program

      Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Lean Methodologies, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Kaizen Methodology, Operational Efficiency, Process Improvement, Performance Measurement, Manufacturing Operations, Business Process, Quality Management, Operational Excellence, Statistical Analysis, Performance Metric, Waste Minimization, Kanban Principles, Process Capability, Continuous Improvement Process

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Modernización de sitios web con IA generativa en GC

      Skills you'll gain: Generative AI, Web Content, Content Management Systems, UI/UX Strategy, User Experience, Web Analytics and SEO, Google Cloud Platform, Web Development

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 上使用生成式 AI 进行网站现代化改造

      Skills you'll gain: Generative AI, AI Personalization, Web Content, Web Analytics and SEO, Prompt Engineering, Performance Tuning, Image Analysis, Google Cloud Platform, User Experience Design

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Starweaver

      ChatGPT (and other AI) for Product Management & Innovation

      Skills you'll gain: Product Management, ChatGPT, Generative AI, User Story, Product Roadmaps, Microsoft Copilot, Product Development, Product Strategy, Prompt Engineering, Market Research, Competitive Analysis, Sprint Planning, Agile Methodology, Business Strategy

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Crea apps basadas en IA generativa en Google Cloud

      Skills you'll gain: Generative AI, Prompt Engineering, Cloud Applications, Google Cloud Platform, Large Language Modeling, Cloud Development, Application Development, Prototyping, Solution Architecture

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Risk Mitigation: Proactive Case Analysis

      Skills you'll gain: Prompt Engineering, Risk Management Framework, Legal Risk, Risk Control, Risk Mitigation, Generative AI, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Ethical Standards And Conduct, Data Analysis

      Advanced · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular feature engineering courses

    • Generative AI for Educators & Teachers: Vanderbilt University
    • Facebook Storytelling: Write Compelling Stories: Coursera
    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • Object-Oriented Analysis & Design: University of Colorado Boulder
    • Introduction to Six Sigma Training: Simplilearn
    • Product Strategy and Roadmapping: Microsoft
    • Lean Management and Six Sigma Green Belt Program: Simplilearn
    • Modernización de sitios web con IA generativa en GC: Google Cloud
    • 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud
    • ChatGPT (and other AI) for Product Management & Innovation: Starweaver

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Feature Engineering

    Feature engineering is a process within machine learning that transforms raw data into features that a machine can recognize as part of the problem to be solved. It's a way of manually improving the observations and variables that a machine is learning based upon the data that you have. Features are tables that consist of the variables and observations that are meaningful to the problem you're trying to solve. Feature engineering consists of determining which features work best with the problem you're solving, creating the features, checking how the features work, and improving them.‎

    It's important to learn about the process of feature engineering because it can influence the result of solving a problem better than relying on algorithms alone, which means you can better solve problems based on the data that you have. When you use feature engineering properly, you can exert a positive influence on the results you achieve from the data that you're working with. To put it simply, the better features you put into the machine, the better problem solutions you'll see as a result. That's where a thorough knowledge of feature engineering comes in. The better you are at inputting features, the better you'll be at making the most of your data.‎

    Data analysts and engineers call upon their knowledge of feature engineering in their careers. Engineers in a host of disciplines analyze, clean, and improve the data that they work with every day, and you'll find data specialists who work with feature engineering in fields as vast as healthcare, aerospace, and defense. The growing fields of mobile gaming and e-commerce also hire feature engineers to better analyze the data that they depend on.‎

    Whether you're looking to learn the basics of feature engineering or acquire more advanced knowledge, taking online courses on Coursera and partners like IBM and Google can help you learn the concepts and practical applications of feature engineering. You can learn about how feature engineering works in certain applications like Google Cloud or MATLAB or aim for a specialized certificate. No matter which of the feature engineering courses you choose to take, you'll have the opportunity to learn new skills that may be beneficial to your career.‎

    Online Feature Engineering courses offer a convenient and flexible way to enhance your knowledge or learn new Feature Engineering skills. Choose from a wide range of Feature Engineering courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Feature Engineering, 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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