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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
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Financial Services

      3.7
      Rating, 3.7 out of 5 stars
      ·
      814 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to HTML, CSS, & JavaScript

      Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Web Design, Cascading Style Sheets (CSS), Front-End Web Development, Hypertext Markup Language (HTML), Web Development, Responsive Web Design, Javascript, Web Applications, Full-Stack Web Development, Scripting, Browser Compatibility, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      503 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Cyber Attacks, Security Awareness, Hardening, Data Security, Computer Security Awareness Training, Network Security, Personally Identifiable Information, Information Systems Security, Security Controls, Threat Management, Malware Protection, Information Privacy, Encryption, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      923 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Mathematical Software, Graph Theory, Software Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      553 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Software Design Threats and Mitigations

      Skills you'll gain: Application Security, Vulnerability Assessments, Software Design, Threat Modeling, Vulnerability Management, Security Engineering, Secure Coding, Software Design Patterns, Software Architecture, Software Visualization, Cryptography, Blockchain, Public Key Cryptography Standards (PKCS)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Web Development with HTML, CSS, JavaScript

      Skills you'll gain: Web Design and Development, Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Development Tools, Cascading Style Sheets (CSS), Front-End Web Development, Web Design, Javascript, Interactive Design, Web Applications, Full-Stack Web Development, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Maximize Productivity With AI Tools

      Skills you'll gain: Workflow Management, Generative AI, Process Optimization, Productivity Software, Prompt Engineering, Artificial Intelligence, Operational Efficiency, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Web Development

      Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Building AI Cloud Apps with Microsoft Azure

      Skills you'll gain: Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Data Ethics, Continuous Deployment, Application Deployment, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      484 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…424344…292

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

    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Introduction to HTML, CSS, & JavaScript: IBM
    • Introduction to Cybersecurity Essentials: IBM
    • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
    • Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion: Georgia Institute of Technology
    • Software Design Threats and Mitigations: University of Colorado System
    • Introduction to Web Development with HTML, CSS, JavaScript: IBM
    • Maximize Productivity With AI Tools: Google
    • The Nuts and Bolts of Machine Learning: Google
    • Introduction to Web Development: University of California, Davis

    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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