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.

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

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Supervised Learning, Predictive Modeling, Machine Learning
Intermediate · Project · Less Than 2 Hours

Fractal Analytics
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Text Mining, Natural Language Processing, Data Processing, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Unsupervised Learning, Machine Learning Algorithms, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, SAS (Software), Classification And Regression Tree (CART), Predictive Modeling, Statistical Modeling, Regression Analysis, Predictive Analytics, Applied Machine Learning, Statistical Methods, Data Processing, Data Manipulation, Data Cleansing, Data Transformation, Statistical Analysis, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Maven Analytics
Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm
Beginner · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, Feature Engineering, Data Integration, Data Transformation, Data Sharing, Data Management, Performance Tuning
Intermediate · Course · 1 - 4 Weeks