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.

Skills you'll gain: Feature Engineering, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Data Validation, Personally Identifiable Information, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

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

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Ethical Standards And Conduct, Classification And Regression Tree (CART), Test Data, Project Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Application Programming Interface (API), Apache Hive, Jupyter, Big Data, Data Architecture, Advanced Analytics, Apache Hadoop, Looker (Software), Scalability
Intermediate · Specialization · 3 - 6 Months

Amazon Web Services
Skills you'll gain: Amazon Web Services, Agentic systems, Performance Tuning, Prompt Engineering, Feature Engineering, Generative AI, Large Language Modeling, Data Wrangling, Data Cleansing, LLM Application
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Predictive Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Machine Learning Methods, Data Cleansing, Data Mining, Data Modeling, Feature Engineering, Application Deployment, Statistical Analysis, Decision Tree Learning, Data Transformation, Process Flow Diagrams, Artificial Neural Networks, Performance Metric
Mixed · Course · 1 - 3 Months

Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Artificial Neural Networks, Text Mining, Deep Learning, Tensorflow, Feature Engineering, Performance Testing, Machine Learning Methods, Data Processing, Data Transformation, Data Cleansing
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Pipelines, Real Time Data, Feature Engineering, PySpark, Dataflow, Cloud Storage, Data Import/Export, Apache Spark, Data Lakes, Data Maintenance, Google Cloud Platform, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Tensorflow, Big Data, Cloud Services, Data Infrastructure, Data Storage
Intermediate · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

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