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.

Northeastern University
Skills you'll gain: Model Training, Natural Language Processing, Embeddings, Model Optimization, Data Ethics, Responsible AI, Deep Learning, Machine Learning Methods, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Machine Learning, Artificial Intelligence, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Cloud Engineering, Amazon CloudWatch, Amazon Elastic Compute Cloud, Failure Analysis, Site Reliability Engineering, Failure Mode And Effects Analysis, Test Engineering, Scenario Testing, Disaster Recovery, Cloud Infrastructure, AWS Identity and Access Management (IAM), Simulations, System Testing, Operational Databases
Beginner · Course · 1 - 3 Months

Skills you'll gain: Computer Graphic Techniques, Image Quality
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Engineering Design Process, Engineering Drawings, Prototyping, Drafting and Engineering Design, Mechanical Drawings, Computer-Aided Design, Technical Drawing, Robotics
★ 4.8 (30) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Model Architectures, Data Ethics, Feature Engineering, Predictive Modeling, Responsible AI, Data Science, Data Synthesis, Data Preprocessing, Data Analysis, Data Visualization Software
★ 4.6 (284) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Model Training, Supervised Learning, Predictive Modeling, Machine Learning
★ 3.9 (28) · Intermediate · Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, DevOps, AI Workflows, CI/CD, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Data Pipelines, Docker (Software), Machine Learning Algorithms, Data Science, Data Validation, Python Programming, Artificial Intelligence, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, Data Visualization
★ 4.6 (17K) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Predictive Modeling, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Feature Engineering, Model Evaluation, Responsible AI, Amazon Web Services, Data Wrangling, Model Optimization, Supervised Learning, Data Transformation, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Cloud Deployment, Apache Airflow, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation
★ 4.6 (2.6K) · Intermediate · Course · 1 - 3 Months
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
★ 4.8 (645) · Advanced · Course · 1 - 3 Months