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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 of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Engineering Software, Software Quality Assurance, Software Engineering, Program Development, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Development Environment, Code Review, Application Deployment, Test Tools, Continuous Deployment, Quality Assurance, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      437 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Statistical Molecular Thermodynamics

      Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Calculations, Molecular, Cellular, and Microbiology, Applied Mathematics, Calculus, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      359 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      The Business of Product Management I

      Skills you'll gain: Product Management, Product Roadmaps, Product Strategy, Product Requirements, New Product Development, Product Lifecycle Management, Competitive Analysis, Customer experience strategy (CX), Customer Insights, Innovation, Persuasive Communication, Market Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      794 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      187 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Ingeniería de Tráfico

      Skills you'll gain: Civil Engineering, Control Systems, Process Analysis, Engineering Analysis, Mathematical Modeling, Simulations, Spatial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Introduction to Image Processing

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Data Analysis, Quantitative Research, Graphical Tools, Data Access, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Strategic Innovation: Building and Sustaining Innovative Organizations

      Skills you'll gain: Strategic Decision-Making, Team Management, Technology Strategies, Business Modeling, Innovation, Product Lifecycle Management, Business Strategy, New Product Development, Intellectual Property, Value Propositions, Competitive Analysis, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Amazon Web Services

      Introduction to Information Technology and AWS Cloud

      Skills you'll gain: Amazon Web Services, Web Applications, Cloud Services, Amazon Elastic Compute Cloud, Information Technology, Cloud Computing, Public Cloud, IT Infrastructure, Computer Systems, Amazon S3, Web Development, General Networking, Web Servers, Operating Systems, Servers, Virtualization, Data Centers, Hypertext Markup Language (HTML), Computer Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      428 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Mathematical Software, Engineering Calculations, Computer Programming, Programming Principles, Engineering Analysis, Scripting, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      420 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 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
      ·
      553 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect Professional Certificate 日本語版

      Skills you'll gain: Identity and Access Management, Prompt Engineering, Cloud Infrastructure, Google Cloud Platform, CI/CD, Microservices, Kubernetes, Application Deployment, Cloud Computing, Terraform, Cloud Security, Data Storage, Cloud Computing Architecture, Network Architecture, Restful API, Cloud Management, Virtual Machines, Cloud Storage, Infrastructure As A Service (IaaS), Technical Design

      4.5
      Rating, 4.5 out of 5 stars
      ·
      903 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Engineering Practices for Building Quality Software: University of Minnesota
    • Statistical Molecular Thermodynamics: University of Minnesota
    • The Business of Product Management I: Advancing Women in Tech
    • Generative AI: Elevate Your Data Science Career: IBM
    • Ingeniería de Tráfico: Pontificia Universidad Católica de Chile
    • Introduction to Image Processing: MathWorks
    • Strategic Innovation: Building and Sustaining Innovative Organizations: University of Illinois Urbana-Champaign
    • Introduction to Information Technology and AWS Cloud: Amazon Web Services
    • Mastering Programming with MATLAB: Vanderbilt University
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)

    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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