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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 Michigan

      Django Features and Libraries

      Skills you'll gain: Application Deployment, Django (Web Framework), Application Development, Web Development, Web Applications, Object-Relational Mapping, Database Design, Data Modeling, Authentications, User Accounts, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      394 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Análisis de Sistemas Eléctricos y Transición Energética

      Skills you'll gain: Electric Power Systems, Electrical Power, Electrical Systems, Energy and Utilities, High Voltage, Power Electronics, Electrical Engineering, Environmental Issue, Reliability, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      R

      Rice University

      General Chemistry: Concept Development and Application

      Skills you'll gain: Chemistry, General Science and Research, Physics, Laboratory Research, Scientific Methods, Experimentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Responsive Web Design, Unix Commands, Git (Version Control System), Front-End Web Development, GitHub, Database Design, Database Management Systems, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      480 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Requirements Gathering for Secure Software Development

      Skills you'll gain: Requirements Analysis, User Requirements Documents, Software Development Methodologies, Requirements Elicitation, Agile Methodology, Functional Requirement, Software Design Documents, System Requirements, Software Development Life Cycle, Verification And Validation, Technical Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      682 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Oral Communication for Engineering Leaders

      Skills you'll gain: Presentations, Technical Communication, Verbal Communication Skills, Public Speaking, Persuasive Communication, Communication Strategies, Communication, Visualization (Computer Graphics), Non-Verbal Communication, Graphic and Visual Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      261 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia Darden School Foundation

      Introduction to Digital Transformation Part 1

      Skills you'll gain: Digital Transformation, Business Transformation, Product Lifecycle Management, Competitive Analysis, Technology Strategies, Data Strategy, Business Technologies, Emerging Technologies, Innovation, Business Strategy, Business Economics, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      418 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Science and Engineering of Climate Change

      Skills you'll gain: Environmental Issue, Energy and Utilities, Mitigation, Engineering, Systems Of Measurement, Environment, Mathematical Modeling, Environmental Engineering, Environmental Science, Scientific Methods, Physics, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      236 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      National Taiwan University

      CAD/BIM技術與應用

      Skills you'll gain: Architectural Drawing, SketchUp (3D Modeling Software), Engineering Drawings, Building Information Modeling, 3D Modeling, Autodesk Revit, AutoCAD, Construction Estimating, Computer-Aided Design, Technical Drawing, Blueprint Reading, Drafting and Engineering Design, Structural Engineering, Engineering Design Process, As-Built Drawings, Civil and Architectural Engineering, Architectural Engineering, Engineering Management, Building Design, Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      355 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      172 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U
      E
      E

      Multiple educators

      Human Mobility in Future Cities

      Skills you'll gain: Policy Analysis, Innovation, Systems Thinking, Storytelling, Sociology, Social Sciences, Creative Thinking, Economics, Policy, and Social Studies, Transportation Operations, Community Development, Cultural Diversity, Geographic Information Systems, Environmental Science, Critical Thinking, Spatial Analysis, Research, Public Policies, Qualitative Research, Environment and Resource Management, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      287 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IIT Bombay

      Introduction to Internet of Things

      Skills you'll gain: Internet Of Things, Network Protocols, Wireless Networks, General Networking, Emerging Technologies, Data Analysis, Systems Design, Scikit Learn (Machine Learning Library), Regression Analysis, Pandas (Python Package), Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Django Features and Libraries: University of Michigan
    • Análisis de Sistemas Eléctricos y Transición Energética: Universidad de los Andes
    • General Chemistry: Concept Development and Application: Rice University
    • Desarrollador back-end de Meta: Meta
    • Requirements Gathering for Secure Software Development: University of Colorado System
    • Oral Communication for Engineering Leaders: Rice University
    • Introduction to Digital Transformation Part 1: University of Virginia Darden School Foundation
    • Science and Engineering of Climate Change: EDHEC Business School
    • CAD/BIM技術與應用: National Taiwan University
    • DevOps, DataOps, MLOps: Duke University

    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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