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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

    • T

      Tecnológico de Monterrey

      Criando uma estratégia digital vencedora

      Skills you'll gain: Search Engine Marketing, Digital Marketing, Search Engine Optimization, Social Media Strategy, Web Content, Content Strategy, Digital Advertising, Web Analytics and SEO, Content Creation, Email Marketing, Digital Communications, E-Commerce, Target Audience

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs Español

      Skills you'll gain: Productivity, Google Workspace, Generative AI, Prompt Engineering, Large Language Modeling

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Certified Six Sigma Yellow Belt Training

      Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Gemini in Google Sheets - 简体中文

      Skills you'll gain: Google Sheets, Prompt Engineering, Google Workspace, Spreadsheet Software, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Gmail - Español

      Skills you'll gain: Gmail, Google Workspace, Generative AI, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera

      Gonzo's Test Course 2

      Skills you'll gain: Engineering, Programming Principles, Computer Programming, Engineering Practices, General Science and Research, Physical Science, Science and Research

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Slides - Bahasa Indonesia

      Skills you'll gain: Google Workspace, Generative AI, AI Personalization, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Foundations - 日本語版

      Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Cloud Security, Data Processing, Identity and Access Management, Role-Based Access Control (RBAC), Interoperability, Cloud Engineering, Data Storage Technologies, Data Transformation, Containerization, Application Frameworks, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Google Slides - Français

      Skills you'll gain: Google Workspace, Generative AI, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 한국어

      Skills you'll gain: Google Workspace, Productivity Software, Generative AI, Google Docs, Gmail, Operational Efficiency, Prompt Engineering, Google Sheets, Company, Product, and Service Knowledge

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 简体中文

      Skills you'll gain: Google Cloud Platform, Generative AI, Prompt Engineering, Virtual Private Networks (VPN), Network Planning And Design, Cloud Infrastructure, Network Engineering, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Bahasa Indonesia

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing

      Beginner · Course · 1 - 3 Months

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

    • Criando uma estratégia digital vencedora: Tecnológico de Monterrey
    • Gemini in Google Docs Español: Google Cloud
    • Certified Six Sigma Yellow Belt Training: Packt
    • Gemini in Google Sheets - 简体中文: Google Cloud
    • Gemini in Gmail - Español: Google Cloud
    • Gonzo's Test Course 2: Coursera
    • Gemini in Google Slides - Bahasa Indonesia: Google Cloud
    • Serverless Data Processing with Dataflow: Foundations - 日本語版: Google Cloud
    • Gemini in Google Slides - Français: Google Cloud
    • Introduction to Gemini for Google Workspace - 한국어: Google Cloud

    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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