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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Educators

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, AI Personalization, Education Software and Technology, OpenAI, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Ethical Standards And Conduct, Virtual Environment, Information Privacy, Diversity Awareness, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Front-End Developer

      Skills you'll gain: Bootstrap (Front-End Framework), HTML and CSS, Software Development Life Cycle, Software Architecture, User Centered Design, Cloud-Native Computing, React Redux, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, React.js, Agile Methodology, Software Design, Front-End Web Development, JavaScript Frameworks, Browser Compatibility, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Process Safety and Risk Analysis

      Skills you'll gain: Chemical Engineering, Process Engineering, Safety Assurance, Risk Management, Failure Analysis, Accident Prevention, Risk Analysis, Reliability, Process Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      140 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, OpenAI, Dashboard, Data Storytelling, Large Language Modeling, Artificial Intelligence, Program Development, SQL, Data Analysis, Content Creation, Business Ethics, Image Analysis, Virtual Environment, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Data Analyst

      Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Data Synthesis, Microsoft Excel, Productivity, Infographics, Document Management, SQL, Generative AI, Artificial Intelligence, Data Visualization, Data Cleansing, Large Language Modeling, Data Import/Export, Statistical Reporting, Data Integration, Data Transformation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Program Managers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Program Management, Generative AI Agents, Risk Management, OpenAI, Project Management Institute (PMI) Methodology, Strategic Decision-Making, Business Risk Management, Project Management Life Cycle, Stakeholder Management, Project Management, Organizational Strategy, Large Language Modeling, Business Ethics, Stakeholder Communications, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Agentic AI and AI Agents for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, Workflow Management, Agentic systems, Productivity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Business Process Automation, OpenAI, Personalized Service, Large Language Modeling, Automation, Business Transformation, Expense Management, Creative Thinking, Ingenuity, Technology Strategies

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

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      144 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I
      S

      Multiple educators

      Generative AI for Growth Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, AI Personalization, Marketing Strategies, Email Marketing, Growth Strategies, Marketing Automation, OpenAI, Marketing Effectiveness, Marketing Analytics, Customer experience strategy (CX), Customer Engagement, Lead Generation, Large Language Modeling, Customer Insights, Artificial Intelligence, Program Development, Customer Retention, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Automation

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Generative AI, Document Management, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, OpenAI, Large Language Modeling, Data Analysis, Organizational Skills, Risk Management Framework, Computer Vision, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Generative AI for Educators: IBM
    • IBM Front-End Developer: IBM
    • Applied Data Science with Python: University of Michigan
    • Introduction to Process Safety and Risk Analysis: University of California, Davis
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • Generative AI Data Analyst: Vanderbilt University
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Generative AI for Program Managers: IBM
    • Agentic AI and AI Agents for Leaders: Vanderbilt University
    • Microsoft AI & ML Engineering: 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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