What is 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.

Why is it important to learn feature engineering?

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.

What are careers that rely on knowledge of feature engineering?

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.

How can online courses on Coursera help me learn feature engineering?

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.

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221 results for "feature engineering"

Google Cloud
Feature Engineering
Skills you'll gain: Computer Programming, Apache, Dataflow, Google Cloud Platform, Tensorflow, Data Management, Feature Engineering, Cloud Computing, Statistical Programming, Machine Learning, Computational Thinking, Theoretical Computer Science, Deep Learning, Hardware Design, Beam Robotics, Applied Machine Learning, Python Programming, Computer Architecture
4.5
(1.7k reviews)
Intermediate · Course
MathWorks
Data Processing and Feature Engineering with MATLAB
Skills you'll gain: Data Analysis Software, Plot (Graphics), Exploratory Data Analysis, Data Analysis, Missing Data, Data Visualization, Statistical Visualization, Mathematics, Business Analysis, Machine Learning, Probability & Statistics, Feature Engineering, Data Management, Correlation And Dependence, Linear Algebra, Probability Distribution, Statistical Analysis
4.7
(307 reviews)
Intermediate · Course
Google
Google Data Analytics
Skills you'll gain: Algorithms, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design
4.8
(63.6k reviews)
Beginner · Professional Certificate
DeepLearning.AI
Machine Learning
Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.9
(322 reviews)
Beginner · Specialization
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Machine Learning Algorithms, Mathematics, Linear Regression, Feature Engineering, Applied Machine Learning, Machine Learning, Logistic Regression, Statistical Machine Learning, Algorithms, Linear Algebra, Econometrics, General Statistics, Linearity, Probability & Statistics, Theoretical Computer Science, Regression
4.9
(309 reviews)
Beginner · Course
DeepLearning.AI
Machine Learning Engineering for Production (MLOps)
Skills you'll gain: Applied Machine Learning, Business Analysis, Change Management, Cloud Computing, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Visualization, Deep Learning, DevOps, Estimation, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Modeling, Network Security, Probability & Statistics, Python Programming, Security Engineering, Security Strategy, Statistical Programming, Statistical Visualization, Strategy and Operations
4.7
(2k reviews)
Advanced · Specialization
Google Cloud
Preparing for Google Cloud Certification: Machine Learning Engineer
Skills you'll gain: Algorithms, Apache, Applied Machine Learning, Bayesian Statistics, Business Analysis, Business Psychology, Cloud Computing, Cloud Platforms, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Model, Data Structures, Deep Learning, DevOps, Entrepreneurship, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Google Cloud Platform, Hardware Design, Kubernetes, Machine Learning, Mathematical Optimization, Network Security, Performance Management, Probability & Statistics, Python Programming, Regression, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(24k reviews)
Intermediate · Professional Certificate

Searches related to feature engineering

feature engineering 日本語版

feature engineering en français

feature engineering em português brasileiro

feature engineering en español

ai workflow: feature engineering and bias detection

data processing and feature engineering with matlab

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

Feature Engineering: Google Cloud
AI Workflow: Feature Engineering and Bias Detection: IBM
Data Processing and Feature Engineering with MATLAB: MathWorks
Feature Engineering en Español: Google Cloud
Feature Engineering em Português Brasileiro: Google Cloud
Feature Engineering 日本語版: Google Cloud
Feature Engineering en Français: Google Cloud
Google Data Analytics: Google
Machine Learning: DeepLearning.AI
Supervised Machine Learning: Regression and Classification: DeepLearning.AI

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.‎

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.

Filter by

221 results for "feature engineering"

Feature Engineering

AI Workflow: Feature Engineering and Bias Detection

Data Processing and Feature Engineering with MATLAB

Feature Engineering en Español

Feature Engineering em Português Brasileiro

Feature Engineering 日本語版

Feature Engineering en Français

Google Data Analytics

Machine Learning

Supervised Machine Learning: Regression and Classification

Machine Learning Engineering for Production (MLOps)

Preparing for Google Cloud Certification: Machine Learning Engineer

Searches related to feature engineering

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

Skills you can learn in Machine Learning

Frequently Asked Questions about Feature Engineering

What is feature engineering?‎

Why is it important to learn feature engineering?‎

What are careers that rely on knowledge of feature engineering?‎

How can online courses on Coursera help me learn feature engineering?‎

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Filter by

221 results for "feature engineering"

Searches related to feature engineering

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

Skills you can learn in Machine Learning

Frequently Asked Questions about Feature Engineering

What is feature engineering?‎

Why is it important to learn feature engineering?‎

What are careers that rely on knowledge of feature engineering?‎

How can online courses on Coursera help me learn feature engineering?‎

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Earn a degree or certificate online

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