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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 at Buffalo

      Natural Gas

      Skills you'll gain: Energy and Utilities, Safety Training, Environmental Regulations, Construction, Environmental Engineering, Process Engineering, Continuous Monitoring, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Single Page Web Applications with AngularJS

      Skills you'll gain: Angular, JavaScript Frameworks, Unit Testing, Ajax, Cloud Applications, Web Applications, Front-End Web Development, Javascript, Application Programming Interface (API), Model View Controller, Web Services, Software Architecture, Hypertext Markup Language (HTML), UI Components

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Solar Energy for Engineers, Architects and Code Inspectors

      Skills you'll gain: Electrical Systems, Building Codes, Construction Inspection, HVAC, Building Design, Basic Electrical Systems, Electrical Safety, Engineering Calculations, Architectural Design, System Requirements, Project Implementation, Energy and Utilities, Architectural Engineering, Land Development, Feasibility Studies, Cost Benefit Analysis, Submittals (Construction), Structural Analysis, Process Analysis, Cost Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Mechanics of Materials III: Beam Bending

      Skills you'll gain: Structural Engineering, Structural Analysis, Mechanical Engineering, Engineering Design Process, Engineering Analysis, Engineering Calculations, Mechanics, Schematic Diagrams, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      950 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Arrays, Lists, and Structured Data

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Java, Software Engineering, Algorithms, Encryption, Programming Principles, Data Analysis, Web Servers, Statistical Methods, File Management, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      623 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

      Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Mathematical Modeling, Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Digital Manufacturing & Design

      Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Industrial Engineering, Business Transformation, Digital Design, Data-Driven Decision-Making, Product Lifecycle Management, Supply Chain, Market Dynamics, Safety and Security, Workforce Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronic Components, Electrical Systems, Differential Equations, Physics, Engineering Analysis, Integral Calculus, Applied Mathematics, Advanced Mathematics, Scientific Visualization, Engineering Calculations, Calculus, Electronic Systems, Mechanics, Electronics, Energy and Utilities, Mathematical Modeling, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      949 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Building Web Applications in PHP

      Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Secure Coding, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Debugging, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Intermediate · Course · 1 - 3 Months

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

      Microsoft

      Microsoft Python Development

      Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Scripting, GitHub, Debugging, Data Cleansing, Data Manipulation, Restful API, Docker (Software), Test Driven Development (TDD)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      228 reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1…353637…288

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

    • Natural Gas: University at Buffalo
    • Single Page Web Applications with AngularJS: Johns Hopkins University
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • Solar Energy for Engineers, Architects and Code Inspectors: University at Buffalo
    • Mechanics of Materials III: Beam Bending: Georgia Institute of Technology
    • Java Programming: Arrays, Lists, and Structured Data: Duke University
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
    • Digital Manufacturing & Design: University at Buffalo
    • Electrodynamics: Korea Advanced Institute of Science and Technology(KAIST)

    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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