Feature Engineering

Feature Engineering is a process of transforming raw data into features that better represent the underlying patterns to the predictive models, thereby resulting in improved model accuracy. Coursera's Feature Engineering catalogue teaches you how to enhance the predictive power of machine learning algorithms. You'll learn how to select, create, and transform features; manage categorical variables; scale features for different algorithms; handle variables with missing values; and reduce dimensionality for complex datasets. You will strengthen your data analytics skills and add value to predictive models in business, finance, healthcare, and many more sectors.
60credentials
1online degree
181courses

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Explore the Feature Engineering Course Catalog

  • Status: New

    Skills you'll gain: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software

  • Status: Free Trial

    Corporate Finance Institute

    Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Wrangling, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis

  • Status: Free Trial

    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

  • 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

  • Status: Free Trial

    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

  • Status: Preview

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Health Informatics, Clinical Data Management, Healthcare Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Applied Machine Learning, Application Deployment, Health Care Procedure and Regulation, Data Ethics, Healthcare Industry Knowledge, Performance Tuning, Feature Engineering, Risk Modeling

  • Status: Preview

    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

  • Status: Free Trial

    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

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

  • Status: Free Trial

    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

  • Status: Free Trial

    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