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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
      I

      IE Business School

      Marketing Mix Implementation

      Skills you'll gain: Product Lifecycle Management, Marketing Communications, Integrated Marketing Communications, Advertising, Marketing, Brand Strategy, Marketing Budgets, Strategic Decision-Making, Brand Management, Customer experience strategy (CX), Price Negotiation, Marketing Analytics, Marketing Strategies, Marketing Channel, Strategic Marketing, Product Strategy, Revenue Management, Merchandising, Conflict Management, Market Opportunities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Object Oriented Java Programming: Data Structures and Beyond

      Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Interactive Data Visualization, Java, Network Analysis, Object Oriented Programming (OOP), Technical Communication, Development Testing, User Interface (UI), Java Programming, Software Testing, Computer Programming, Adaptability, Object Oriented Design, Performance Tuning, Algorithms, Software Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Safety, Electric Power Systems, Control Systems, Simulations, Estimation, Thermal Management, Power Electronics, Electronic Components, Electrical Engineering, Mathematical Modeling, Basic Electrical Systems, Energy and Utilities, Probability, Systems Engineering, Electrical Power, Electronic Systems, Matlab, Failure Analysis, Electrical Substation, Simulation and Simulation Software

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      National Taiwan University

      3D CAD Application

      Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Construction, Building Design, Architectural Drawing, Architecture and Construction, Computer-Aided Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      160 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Systems, System Design and Implementation, Embedded Systems, Electronics Engineering, Application Specific Integrated Circuits, Electronics, Program Development, Eclipse (Software), Software Development, Embedded Software, Integrated Development Environments, Verification And Validation, Computer Architecture, Computer Engineering, Development Environment, Schematic Diagrams, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Introduction to Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Software Development Tools, Code Review, Software Engineering Tools, Issue Tracking, Command-Line Interface, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Intelligent Machining

      Skills you'll gain: Control Systems, Machine Controls, Manufacturing Processes, Internet Of Things, Automation, Software Systems, Real Time Data, Artificial Intelligence, Machine Learning, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

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    1…222324…288

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

    • Marketing Mix Implementation: IE Business School
    • Object Oriented Java Programming: Data Structures and Beyond: University of California San Diego
    • Algorithms for Battery Management Systems: University of Colorado Boulder
    • 3D CAD Application: National Taiwan University
    • Programming Foundations with JavaScript, HTML and CSS: Duke University
    • Using Python to Interact with the Operating System: Google
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Introduction to Git and GitHub: Google

    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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