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.

Dassault Systèmes
Skills you'll gain: SolidWorks (CAD), Technical Design, Design Software, Computer-Aided Design, 3D Modeling
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Scaled Agile Framework, Systems Engineering, Scrum (Software Development), Agile Methodology, Agile Project Management, Kanban Principles, Software Development Methodologies, Business Leadership, Unified Modeling Language, Backlogs, Scalability, Organizational Structure, Coordinating, Organizational Change, Waterfall Methodology, Change Management
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
Beginner · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Pandas (Python Package), Data Wrangling, Feature Engineering, Data Cleansing, Data Manipulation, Data Transformation, Data Analysis, Data Integration, Data Quality, Dimensionality Reduction, Applied Machine Learning
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, AI Workflows, CI/CD, Application Deployment, 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
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Cloud Deployment, 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, 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
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
Advanced · Course · 1 - 3 Months