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.
45credentials
1online degree
169courses

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Explore the Feature Engineering Course Catalog

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring

  • Status: Free Trial

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Feature Engineering, Data Manipulation, Data Integration, Infrastructure as Code (IaC), Data Management

  • Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Transformation, Machine Learning, Real Time Data, Scalability

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

  • Status: New
    Status: Free Trial

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

  • Skills you'll gain: Feature Engineering, Tensorflow, Data Pipelines, Data Processing, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Modeling, Machine Learning, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Pipelines, Machine Learning, Data Modeling, Data Storage, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Data Transformation, MLOps (Machine Learning Operations), Tensorflow, Data Processing, Data Pipelines, Keras (Neural Network Library), Machine Learning, Data Modeling, Big Data, Deep Learning

What brings you to Coursera today?

Leading partners

  • Google Cloud
  • IBM
  • EDUCBA
  • Packt
  • DeepLearning.AI
  • University of Colorado Boulder
  • University of Washington
  • Whizlabs