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.

University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining
Mixed · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data
Intermediate · Specialization · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Responsible AI, Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Machine Learning, Patient-centered Care, Artificial Intelligence, Healthcare Industry Knowledge, Performance Tuning, Feature Engineering, Risk Modeling, Data Validation, Analysis
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Data Processing, Keras (Neural Network Library), Applied Machine Learning, Statistical Machine Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Engineering, Cloud Platforms, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Application Deployment, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring
Beginner · Course · 1 - 3 Months