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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

    • U

      University of Rochester

      Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics

      Skills you'll gain: Basic Electrical Systems, Music, Electrical Engineering, Electronics, Electronic Components, Electronics Engineering, Electrical Systems, Instrumental Music, Vibrations, Equipment Design, Construction, Mechanical Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      583 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      AI Foundations: Prompt Engineering with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Data Ethics, Generative AI, Ideation, Creativity, Research

      4.1
      Rating, 4.1 out of 5 stars
      ·
      71 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Ethics in Engineering

      Skills you'll gain: Failure Analysis, Engineering Practices, Ethical Standards And Conduct, Business Ethics, Chemical and Biomedical Engineering, Engineering Management, Systems Engineering, Engineering, Civil Engineering, Electrical and Computer Engineering, Software Engineering, Safety Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Artificial Intelligence, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Generative AI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Mastering Statics

      Skills you'll gain: Structural Analysis, Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Engineering Analysis, Engineering Drawings, Geometry, Algebra, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      226 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Material Processing

      Skills you'll gain: Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Process Engineering, Physical Science, Semiconductors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      Eindhoven University of Technology

      Ethics, Technology and Engineering

      Skills you'll gain: Ethical Standards And Conduct, Engineering Design Process, Business Ethics, Engineering Practices, Research, Conceptual Design, Law, Regulation, and Compliance, Risk Management Framework, Mediation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      811 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Nationale des Ponts et Chaussées

      Mastering bitumen for better roads and innovative applications

      Skills you'll gain: Environmental Engineering, Environment Health And Safety, Civil Engineering, Transportation Operations, Construction, Market Dynamics, Transportation, Supply Chain, and Logistics, Material Handling, Chemical Engineering, Product Testing, Technical Standard, Performance Testing, Manufacturing Processes, Laboratory Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      371 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Structural Engineering, Hydraulics, Statistical Methods, Statistics, Engineering Analysis, Mechanical Engineering, Probability, Engineering, Probability Distribution, Mechanics, Engineering Calculations, Civil Engineering, Applied Mathematics, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      611 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Applications in Engineering Mechanics

      Skills you'll gain: Structural Analysis, Structural Engineering, Engineering Analysis, Mechanical Engineering, Mechanics, Engineering

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Introduction to Systems Engineering

      Skills you'll gain: Systems Engineering, Conceptual Design, Systems Design, Requirements Analysis, Systems Development Life Cycle, Requirements Elicitation, Systems Architecture, Systems Integration, Engineering Design Process, System Design and Implementation, Concept Of Operations, Configuration Management, Prototyping, System Requirements, Design Reviews, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      807 reviews

      Mixed · Course · 1 - 3 Months

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    1…91011…286

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

    • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester
    • AI Foundations: Prompt Engineering with ChatGPT: Arizona State University
    • Ethics in Engineering: University of Michigan
    • IBM & Darden Digital Strategy: IBM
    • Mastering Statics: The Hong Kong University of Science and Technology
    • Material Processing: Georgia Institute of Technology
    • Ethics, Technology and Engineering : Eindhoven University of Technology
    • Mastering bitumen for better roads and innovative applications: École Nationale des Ponts et Chaussées
    • Introduction to Data Engineering: DeepLearning.AI
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology

    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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