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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
      K

      Kennesaw State University

      Six Sigma Advanced Improve and Control Phases

      Skills you'll gain: Statistical Process Controls, Root Cause Analysis, Lean Methodologies, Process Capability, Quality Control, Six Sigma Methodology, Process Analysis, Lean Manufacturing, Process Improvement, Continuous Improvement Process, Operational Efficiency, Waste Minimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      714 reviews

      Intermediate · Course · 1 - 3 Months

    • F

      Fractal Analytics

      GenAI for Everyone

      Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence, Prompt Engineering, Operational Efficiency, Human Centered Design, Personalized Service, Ethical Standards And Conduct, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      409 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Hardware Security

      Skills you'll gain: Security Engineering, Computer Hardware, Hardware Architecture, Threat Modeling, Threat Detection, Cybersecurity, Application Specific Integrated Circuits, Cryptography, Encryption, Emerging Technologies, Authentications, System Design and Implementation, Computational Logic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      687 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Internet of Things and AI Cloud

      Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), Computer Vision, System Design and Implementation, Android Development, Android Studio, Telecommunications, Internet Of Things, Wireless Networks, Mobile Development, Digital Communications

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Data Storytelling, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      184 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Evolución

      Skills you'll gain: Biology, Life Sciences, Human Development, Human Learning, Environment, Anthropology, World History, Social Studies, Deductive Reasoning, Innovation, Molecular, Cellular, and Microbiology, European History, Higher Education, Taxonomy, Mathematical Modeling, Scientific Methods, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      358 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      209 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Mobile Development

      Skills you'll gain: Mobile Development, React Native, Responsive Web Design, Browser Compatibility, HTML and CSS, Cross Platform Development, Web Design and Development, Javascript, User Interface (UI) Design, Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      552 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Applying Systems Engineering to the Design Process

      Skills you'll gain: Requirements Management, Design Reviews, Systems Engineering, Engineering Management, User Requirements Documents, Business Requirements, Product Requirements, Requirements Analysis, Organizational Leadership, Team Leadership, Leadership and Management, Systems Integration, Systems Analysis, Leadership, Maintainability, Project Performance, Configuration Management, Performance Measurement, Manufacturing Processes, Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      801 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Análisis de Sistemas de Transporte

      Skills you'll gain: Transportation Operations, Transportation Management, Transportation, Supply Chain, and Logistics, Systems Analysis, Operations Research, Demand Planning, Network Analysis, Econometrics, Cost Benefit Analysis, Process Optimization, Economic Development, Mathematical Modeling, Market Dynamics, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      774 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to AI and Machine Learning on Google Cloud

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      241 reviews

      Beginner · Course · 1 - 3 Months

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

    • Six Sigma Advanced Improve and Control Phases: Kennesaw State University
    • GenAI for Everyone: Fractal Analytics
    • Hardware Security: University of Maryland, College Park
    • Internet of Things and AI Cloud: University of California San Diego
    • Generative AI: Elevate Your Data Science Career: IBM
    • Evolución: Universidad Nacional Autónoma de México
    • Rust Programming: Duke University
    • Introduction to Mobile Development: Meta
    • Applying Systems Engineering to the Design Process: University of Colorado Boulder
    • Artificial Intelligence on Microsoft Azure: Microsoft

    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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