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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 Illinois Urbana-Champaign

      The 3D Printing Revolution

      Skills you'll gain: 3D Modeling, Emerging Technologies, Manufacturing and Production, Manufacturing Processes, Industrial Design, Prototyping, Entrepreneurship, Business Economics, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Columbia University

      The Age of Sustainable Development

      Skills you'll gain: Economic Development, Socioeconomics, Mitigation, Social Justice, Human Development, Environment, Environmental Policy, Health Policy, International Relations, Health Care, Public Health and Disease Prevention, Food Services, World History, Public Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Pilares de Marketing Digital

      Skills you'll gain: Digital Marketing, Customer Relationship Management, Social Media, Digital Media Strategy, Social Media Strategy, Marketing Analytics, Marketing Strategies, Online Advertising, Web Analytics, Marketing, Sales Process, Business Analytics, Search Engine Marketing, Email Marketing, Search Engine Optimization, Content Performance Analysis, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Solar Energy and Electrical System Design

      Skills you'll gain: Electrical Systems, HVAC, Building Design, Basic Electrical Systems, Electrical Safety, Engineering Calculations, Architectural Design, System Requirements, Building Codes, Structural Analysis, Cost Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      704 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universiteit Leiden

      The Cosmopolitan Medieval Arabic World

      Skills you'll gain: World History, Cultural Diversity, Political Sciences, Ancient History, European History, Social Sciences, Economics, Liberal Arts, Research, Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      428 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Solar Energy Systems Overview

      Skills you'll gain: Electrical Systems, Basic Electrical Systems, HVAC, Project Implementation, Energy and Utilities, Feasibility Studies, Cost Benefit Analysis, Cost Estimation, Return On Investment, Building Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      846 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Features and Boundaries

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Machine Learning Algorithms, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      181 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Geneva

      Chemical Biology

      Skills you'll gain: Biochemistry, Molecular Biology, Bioinformatics, Chemistry, Experimentation, Laboratory Experience, Scientific Visualization, Biology, Laboratory Equipment, Image Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Genomics: Decoding the Universal Language of Life

      Skills you'll gain: Life Sciences, Bioinformatics, Molecular Biology, Environment, Precision Medicine, Biology, Health Systems, Medical Science and Research, Environmental Science, Microbiology, Computational Thinking, Data Processing, Experimentation, Research, Scientific Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      323 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Machine Controls, Automation Engineering, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Computational Logic, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Numerical Analysis, Linear Algebra, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Introduction to Software Development

      Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Software Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      203 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • The 3D Printing Revolution: University of Illinois Urbana-Champaign
    • The Age of Sustainable Development: Columbia University
    • Pilares de Marketing Digital: Universidad Austral
    • Solar Energy and Electrical System Design: University at Buffalo
    • The Cosmopolitan Medieval Arabic World: Universiteit Leiden
    • Solar Energy Systems Overview: University at Buffalo
    • Features and Boundaries: Columbia University
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Chemical Biology: University of Geneva
    • Genomics: Decoding the Universal Language of Life: University of Illinois Urbana-Champaign

    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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