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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
      U

      University of Colorado Boulder

      Finance for Technical Managers

      Skills you'll gain: Sustainability Reporting, Financial Analysis, Financial Statement Analysis, Cost Estimation, Environmental Social And Corporate Governance (ESG), Capital Budgeting, Budgeting, Cost Benefit Analysis, Project Risk Management, Risk Analysis, Risk Mitigation, Income Statement, Cost Management, Financial Modeling, Investment Management, Balance Sheet, Return On Investment, Risk Management, Financial Reporting, Finance

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      ESSEC Business School

      L'excellence opérationnelle en pratique

      Skills you'll gain: Operational Excellence, Operational Efficiency, Operational Analysis, Operations Management, Kaizen Methodology, Business Operations, Operational Performance Management, Process Improvement, Business Process Management, Quality Improvement, Lean Methodologies, Lean Manufacturing, Continuous Improvement Process, Kanban Principles, Culture Transformation, Six Sigma Methodology, Organizational Strategy, Process Mapping, Complex Problem Solving, Performance Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      666 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Social and Technical Context of Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Health Policy, Health Care, Healthcare Industry Knowledge, Health Information Management, Information Technology, Health Care Procedure and Regulation, System Requirements, Interoperability, Electronic Medical Record, Data Literacy, Technology Strategies, Medical Imaging, Emerging Technologies, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      531 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Frontend Development

      Skills you'll gain: User Interface (UI) Design, Color Theory, User Interface (UI), Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Typography, React.js, Web Development Tools, JSON, Design, Event-Driven Programming, Web Design, Javascript, Debugging, Usability, Web Development, Node.JS, Front-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      472 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Excel and Copilot Fundamentals

      Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, UI Components, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Basic Vibrations

      Skills you'll gain: Vibrations, Mechanics, Mechanical Engineering, Engineering Analysis, Control Systems, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      519 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Exploring Our Responses to Climate Change

      Skills you'll gain: Risk Management, Mitigation, Business Risk Management, Risk Mitigation, Environmental Policy, Environmental Issue, Natural Resource Management, Environment, Corporate Sustainability, Persuasive Communication, Community Development, Corporate Strategy, Water Resources, Scientific Methods, Vulnerability, Civil Engineering, Political Sciences, Policy Analysis, Environmental Science, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      243 reviews

      Beginner · Specialization · 1 - 3 Months

    • É

      École Polytechnique

      Quantum Optics 1 : Single Photons

      Skills you'll gain: Physics, Experimentation, Quantitative Research, Cryptography, Mathematical Modeling, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      332 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      AI for Web Developers

      Skills you'll gain: Prompt Engineering, Cloud Applications, OpenAI, HTML and CSS, ChatGPT, Application Deployment, API Gateway, Cloud Hosting, Generative AI, Web Development, GitHub, Cloud Security, Version Control, Front-End Web Development, Data Ethics, Application Programming Interface (API), Debugging, Large Language Modeling, Artificial Intelligence, Pseudocode

      4.6
      Rating, 4.6 out of 5 stars
      ·
      198 reviews

      Intermediate · Specialization · 1 - 3 Months

    • P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

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

    • Finance for Technical Managers: University of Colorado Boulder
    • Practical Machine Learning: Johns Hopkins University
    • L'excellence opérationnelle en pratique : ESSEC Business School
    • The Social and Technical Context of Health Informatics: Johns Hopkins University
    • Frontend Development: Scrimba
    • Excel and Copilot Fundamentals: Microsoft
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
    • Exploring Our Responses to Climate Change: University of Colorado Boulder
    • Quantum Optics 1 : Single Photons: École Polytechnique
    • Data Engineering in AWS: Whizlabs

    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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