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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
      I

      IBM

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Technical Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Engineering in Engineering Management

      Skills you'll gain: User Story, SQL, New Product Development, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), Delegation Skills, Object Oriented Design, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Unsupervised Learning, Goal Setting, Proposal Writing

      Earn a degree

      Degree · 1 - 4 Years

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Marketing Mix Implementation

      Skills you'll gain: Product Lifecycle Management, Marketing Communications, Integrated Marketing Communications, Advertising, Marketing, Brand Strategy, Marketing Budgets, Strategic Decision-Making, Brand Management, Customer experience strategy (CX), Price Negotiation, Marketing Analytics, Marketing Strategies, Marketing Channel, Strategic Marketing, Product Strategy, Revenue Management, Merchandising, Conflict Management, Market Opportunities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Introduction to Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Software Development Tools, Code Review, Software Engineering Tools, Issue Tracking, Command-Line Interface, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      T

      Technical University of Denmark (DTU)

      Hydrogen: Key Concepts and Use in Green Technologies

      Skills you'll gain: Laboratory Experience, Energy and Utilities, Feasibility Studies, Chemical Engineering, Production Process, Process Engineering, Manufacturing and Production, Mathematical Modeling, Chemical and Biomedical Engineering, Chemistry, Engineering, Engineering Analysis, Simulation and Simulation Software, Technical Consulting, Environmental Engineering, Cost Estimation, Research Reports

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Intelligent Machining

      Skills you'll gain: Control Systems, Machine Controls, Manufacturing Processes, Internet Of Things, Automation, Software Systems, Real Time Data, Artificial Intelligence, Machine Learning, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      MathWorks

      Powering the Future with Electrification

      Skills you'll gain: Electrical Systems, Model Based Systems Engineering, Electrical Engineering, Power Electronics, Electric Power Systems, Simulation and Simulation Software, Simulations, Mathematical Modeling, Engineering Analysis, Energy and Utilities, Matlab, Environmental Engineering

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Introduction to Cloud Computing: IBM
    • Master of Engineering in Engineering Management: University of Colorado Boulder
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Marketing Mix Implementation: IE Business School
    • Introduction to Git and GitHub: Google
    • Hydrogen: Key Concepts and Use in Green Technologies: Technical University of Denmark (DTU)
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Using Python to Interact with the Operating System: Google
    • Intelligent Machining: University at Buffalo
    • Powering the Future with Electrification: MathWorks

    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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