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: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data
4.6
Rating, 4.6 out of 5 stars
19K reviews
Intermediate · Professional Certificate · 3 - 6 Months
University of Illinois Urbana-Champaign
Introduction to Sustainability
Skills you'll gain: Environmental Policy, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Socioeconomics, Policy Analysis, Natural Resource Management, Systems Thinking, Social Sciences, Trend Analysis, Economics
4.8
Rating, 4.8 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Vanderbilt University
ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier
Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Generative AI, Agentic systems, Productivity, AI Personalization, OpenAI, Expense Management, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Google Workspace, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Business Process Automation
4.8
Rating, 4.8 out of 5 stars
6.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
ISAE-SUPAERO
Flight mechanics - The basis
Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Energy and Utilities, Engineering Analysis, Algebra
4.7
Rating, 4.7 out of 5 stars
448 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Foundations of Healthcare Systems Engineering
Skills you'll gain: Health Systems, Systems Engineering, Health Technology, Healthcare Industry Knowledge, Health Care, Systems Integration, Systems Analysis, System Requirements, System Testing, Requirements Analysis, Enterprise Architecture, Solution Design
4.7
Rating, 4.7 out of 5 stars
281 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Embedding Sensors and Motors
Skills you'll gain: Control Systems, Process Control, Embedded Systems, Electronic Systems, Machine Controls, Embedded Software, Programmable Logic Controllers, Electronics, Hardware Design, Automation Engineering, Laboratory Experience, Electronics Engineering, Electrical Engineering, Three-Phase, Power Electronics, Manufacturing Processes, Electrical Equipment, Manufacturing and Production, Electronic Components, Electrical Systems
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
2.8K reviews
Intermediate · Specialization · 3 - 6 Months
École Polytechnique
Seismology to Earthquake Engineering
Skills you'll gain: Vibrations, Structural Engineering, Structural Analysis, Engineering Analysis, Civil Engineering, Engineering, Engineering Calculations, Mechanics, Risk Control, Simulation and Simulation Software, Mathematical Modeling, Experimentation, Laboratory Testing
4.2
Rating, 4.2 out of 5 stars
36 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University at Buffalo
Electric Power Systems
Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Energy and Utilities, Basic Electrical Systems, Electrical Equipment, Electrical Safety, Low Voltage, High Voltage, Environmental Engineering, Emerging Technologies, Reliability
4.7
Rating, 4.7 out of 5 stars
7.6K reviews
Beginner · Course · 1 - 4 Weeks
Georgia Institute of Technology
Introduction to Electronics
Skills you'll gain: Electronic Components, Semiconductors, Electronics, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams
4.7
Rating, 4.7 out of 5 stars
2.5K reviews
Mixed · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Slope Engineering
Skills you'll gain: Civil Engineering, Structural Analysis, Failure Analysis, Engineering Analysis, Geographic Information Systems, Risk Control, Geospatial Information and Technology, Mechanics, Augmented and Virtual Reality (AR/VR), Experimentation, Laboratory Experience
4.8
Rating, 4.8 out of 5 stars
50 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Introduction to Data Engineering
Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability
4.8
Rating, 4.8 out of 5 stars
371 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling
4.9
Rating, 4.9 out of 5 stars
28K reviews
Beginner · Course · 1 - 4 Weeks