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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
      M

      Microsoft

      Microsoft Back-End Developer

      Skills you'll gain: CI/CD, C# (Programming Language), Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Application Deployment, Microsoft Azure, Microsoft Copilot, Cloud Services, Relational Databases, Graph Theory, Back-End Web Development, Program Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Programming with JavaScript

      Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Scripting Languages, Event-Driven Programming, Node.JS, Scripting, JSON, Computer Programming, Test Case, Data Structures, Debugging, Package and Software Management, Program Development, Development Environment, Functional Design

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Essentials of Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Visualization and Dashboards with Excel and Cognos

      Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, IBM Cognos Analytics, Tree Maps, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Malware Analysis and Introduction to Assembly Language

      Skills you'll gain: Malware Protection, Cyber Threat Intelligence, Cyber Threat Hunting, Cyber Security Assessment, Application Security, Threat Detection, Virtual Machines, Code Review, Debugging, System Programming, Microsoft Windows, Scripting, Windows PowerShell, Virtualization, Computer Architecture, Linux

      4.5
      Rating, 4.5 out of 5 stars
      ·
      81 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Feature Engineering, Statistical Analysis, Supervised Learning, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Transformation

      Skills you'll gain: Digital Transformation, Business Transformation, Product Lifecycle Management, Technology Strategies, Corporate Strategy, Business Strategy, Business Economics, Business Technologies, Emerging Technologies, Market Dynamics, Process Development, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Solar Energy Basics

      Skills you'll gain: Electric Power Systems, Electrical Systems, Electrical Power, Energy and Utilities, Basic Electrical Systems, Electronic Components, Cost Estimation, Building Codes, Engineering Calculations, Environment and Resource Management, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Camino a la Excelencia en Gestión de Proyectos

      Skills you'll gain: Lean Methodologies, Workflow Management, Culture Transformation, Process Improvement, Project Management, Production Process, Organizational Change, Continuous Improvement Process, Value Engineering, Contract Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Business Analyst

      Skills you'll gain: Microsoft Power Platform, Excel Formulas, Process Flow Diagrams, Business Process Modeling, User Story, Business Requirements, Stakeholder Management, Data Modeling, Microsoft Excel, Microsoft Visio, Software Development Life Cycle, Requirements Analysis, Requirements Elicitation, Quality Management, Pivot Tables And Charts, Power BI, Microsoft Power Automate/Flow, Scrum (Software Development), Business Analysis, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Microsoft Back-End Developer: Microsoft
    • Programming with JavaScript: Meta
    • Essentials of Prompt Engineering: Amazon Web Services
    • Data Visualization and Dashboards with Excel and Cognos: IBM
    • Malware Analysis and Introduction to Assembly Language: IBM
    • Computer Vision for Engineering and Science: MathWorks
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Digital Transformation: University of Virginia
    • Team Software Engineering with AI: DeepLearning.AI
    • Solar Energy Basics: The State University of New York

    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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