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.

What are the benefits of taking an online Feature Engineering course?

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.

What Feature Engineering courses are best for training and upskilling employees or the workforce?

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 .

Top Feature Engineering Courses - Learn Feature Engineering Online

Explore the Feature Engineering Course Catalog

Status: New
Status: Free Trial
Packt
Exploratory Data Analysis & Core ML Algorithms
Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Packt
Mastering Azure Databricks for Data Engineers
Skills you'll gain: Databricks, CI/CD, Real Time Data, Data Governance, Apache Spark, Microsoft Azure, Data Lakes, Data Architecture, Data Management, Cloud Engineering, Big Data, Secure Coding, Data Storage Technologies, Integration Testing, Automation, Data Infrastructure, Data Pipelines, Restful API, Command-Line Interface, Systems Design
Intermediate · Specialization · 1 - 3 Months
BITS Pilani
Bachelor of Science in Computer Science
Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Android Development, Operating Systems, Database Design, Bioinformatics, Feature Engineering, User Interface (UI) Design, Threat Modeling, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic
Earn a degree
Degree · 1 - 4 Years
Status: New
Status: Free Trial
Dartmouth College
Prescriptive Analytics
Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Predictive Analytics, Advanced Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Business Mathematics, Data Science, Process Analysis, Complex Problem Solving, Python Programming, Linear Algebra
Intermediate · Course · 1 - 3 Months
Status: New
Coursera Instructor Network
Azure Data Engineering: Cosmos DB, SQL & Analytics
Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Dartmouth College
Data Analytics for Digital Transformation
Skills you'll gain: Digital Transformation, Business Ethics, Customer experience improvement, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Business Modeling, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Università di Napoli Federico II
Autonomous Vehicle Engineering
Skills you'll gain: NoSQL, Control Systems, Apache Hadoop, Apache Hive, Big Data, Model Based Systems Engineering, Database Systems, Artificial Intelligence, Mechanical Engineering, Computer Vision, Laboratory Experience, Simulations, Systems Architecture, Simulation and Simulation Software, Distributed Computing, Equipment Design, Data Processing, Matlab, Global Positioning Systems, Automation
4.3
Rating, 4.3 out of 5 stars
58 reviews
Beginner · Specialization · 1 - 3 Months
Status: New
Packt
Master ChatGPT & OpenAI APIs – Build AI Tools in Python
Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling, Python Programming, Artificial Intelligence, Technical Communication, Natural Language Processing, Application Programming Interface (API), Application Development, User Interface (UI)
Intermediate · Course · 3 - 6 Months
Status: New
Status: Free Trial
IBM
Generative AI for Digital Marketing
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Digital Advertising, Email Marketing, OpenAI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Search Engine Optimization, Large Language Modeling, Artificial Intelligence, Copywriting, Image Analysis
4.7
Rating, 4.7 out of 5 stars
6.7K reviews
Beginner · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
Amazon Web Services
AWS Generative AI Applications
Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Data Governance, Large Language Modeling, API Design, Cost Management, Information Privacy, Business Ethics
4.7
Rating, 4.7 out of 5 stars
10 reviews
Beginner · Professional Certificate · 1 - 3 Months
University of London
Machine Learning for All
Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Amazon Web Services
AI Fundamentals and the Cloud
Skills you'll gain: Prompt Engineering, Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Generative AI, Business Ethics, Machine Learning, Application Development
4.7
Rating, 4.7 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks