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.

Top Feature Engineering Courses - Learn Feature Engineering Online

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Feature Engineering

Feature Engineering Courses

Feature engineering courses can help you learn techniques for transforming raw data into meaningful features, selecting relevant variables, and creating new features to improve model performance. You can build skills in data preprocessing, handling missing values, and using domain knowledge to enhance feature sets.

Popular Feature Engineering Courses and Certifications

Status: Free Trial
Google Cloud
Feature Engineering
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Birla Institute of Technology & Science, Pilani
Mathematics for Engineering
Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics
4.6
Rating, 4.6 out of 5 stars
177 reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
University of Colorado System
Agile Systems Engineering Leadership
Skills you'll gain: Team Management, Teamwork, Team Building, Team Motivation, Organizational Leadership, Leadership and Management, Conflict Management, Motivational Skills, Organizational Structure, Engineering Management, Systems Engineering, Leadership, Employee Engagement, Agile Methodology
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
The Hong Kong University of Science and Technology
Software Engineering
Skills you'll gain: Software Design Patterns, Requirements Analysis, Systems Development Life Cycle, Software Architecture, Acceptance Testing, Software Development Methodologies, Unified Modeling Language, Software Development Life Cycle, Configuration Management, Software Quality Assurance, Debugging, Software Design, Software Engineering, Software Testing, Object Oriented Design, Functional Requirement, Data Modeling, Systems Design, Project Management, Project Planning
4.6
Rating, 4.6 out of 5 stars
586 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
IBM
AI Workflow: Feature Engineering and Bias Detection
Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
4.4
Rating, 4.4 out of 5 stars
76 reviews
Advanced · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
University of Colorado System
Agile Systems Engineering
Skills you'll gain: Systems Engineering, Verification And Validation, Team Management, Systems Architecture, Requirements Analysis, Requirements Elicitation, Scrum (Software Development), Systems Development Life Cycle, Teamwork, Configuration Management, Team Building, Agile Methodology, Scaled Agile Framework, Systems Development, Team Motivation, Organizational Leadership, Engineering Management, Risk Management, Waterfall Methodology, Leadership and Management
4.9
Rating, 4.9 out of 5 stars
7 reviews
Intermediate · Specialization · 3 - 6 Months

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Status: Free Trial
Google Cloud
Feature Engineering en Español
Skills you'll gain: Feature Engineering, Tensorflow, Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods
4.4
Rating, 4.4 out of 5 stars
37 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Khalifa University
Health, Safety, and Environmental (HSE) Engineering
Skills you'll gain: Environmental Management Systems, Environment Health And Safety, Environmental Monitoring, Accident Reporting, Safety Training, Occupational Safety and Health Administration (OSHA), Fire And Life Safety, Accident Prevention, Hazardous Waste Operations And Emergency Response Standard (HAZWOPER), Environmental Regulations, Environmental Engineering, Environmental Laws, Environmental Resource Management, Risk Management, Risk Management Framework, Environmental Engineering and Restoration, Risk Analysis, Environment and Resource Management, Engineering Management, Engineering
4.8
Rating, 4.8 out of 5 stars
131 reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
IBM
IBM AI Engineering
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Natural Language Processing, Machine Learning, Python Programming, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
21K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Software Engineering
Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado System
Scaling Scrum for Large Systems Engineering Projects
Skills you'll gain: Scaled Agile Framework, Systems Engineering, Scrum (Software Development), Agile Methodology, Agile Project Management, Kanban Principles, Business Leadership, Process Driven Development, Unified Modeling Language, Backlogs, Scalability, Engineering Management, Organizational Change, Waterfall Methodology
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Dassault Systèmes
SOLIDWORKS xDesign for Education
Skills you'll gain: SolidWorks (CAD), 3D Modeling, Computer-Aided Design, Technical Design, Assembly Drawing, Engineering Drawings, Engineering Design Process, Technical Drawing, Mechanical Design, Mechanical Engineering, Design Elements And Principles
4.4
Rating, 4.4 out of 5 stars
23 reviews
Beginner · Specialization · 3 - 6 Months

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

Feature Engineering: Google Cloud
Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
Agile Systems Engineering Leadership: University of Colorado System
Software Engineering: The Hong Kong University of Science and Technology
AI Workflow: Feature Engineering and Bias Detection: IBM
Agile Systems Engineering: University of Colorado System
Feature Engineering en Español: Google Cloud
Health, Safety, and Environmental (HSE) Engineering: Khalifa University
IBM AI Engineering: IBM
Introduction to Software Engineering: IBM

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.‎

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.