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: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Django (Web Framework), Data Visualization, Statistical Modeling, Feature Engineering, Application Programming Interface (API), Programming Principles, Relational Databases, Databases, Development Environment, Data Science, Data Cleansing, Animation and Game Design, Authorization (Computing), Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides, Software Design

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Supervised Learning, Data Transformation, Feature Engineering, Jupyter, Data Analysis, Data Cleansing, Data Literacy, Generative AI, Professional Networking, Data Import/Export

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Dashboard, Cloud Services, Applied Machine Learning, Application Programming Interface (API), Apache Hive, Jupyter, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Apache Hadoop, Serverless Computing, Application Deployment, Looker (Software), Cloud Computing, Scalability, SQL

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Keras (Neural Network Library), Supervised Learning, Data Transformation, Flask (Web Framework), Feature Engineering, Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Infrastructure, Data Strategy, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, Data Transformation, Financial Forecasting, Feature Engineering, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Pandas (Python Package), Tensorflow, Artificial Neural Networks, Matplotlib, NumPy

  • Status: New
    Status: Free Trial

    Skills you'll gain: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing