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Feature Engineering Courses

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.

Popular Feature Engineering Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Dassault Systèmes

    xDesign Feature Patterns and Sweeps

    Skills you'll gain: SolidWorks (CAD), Technical Design, Design Software, Computer-Aided Design, 3D Modeling

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Scaling Scrum for Large Systems Engineering Projects

    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

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Using Rapid Prototyping in the Engineering Design Process

    Skills you'll gain: Engineering Design Process, Engineering Drawings, Prototyping, Drafting and Engineering Design, Mechanical Drawings, Computer-Aided Design, Technical Drawing, Robotics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Advanced Features and Polish for a Pinball Game in UE

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Cleaning, Transformation, and Manipulation

    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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate Your Data Science Career

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    283 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Building and Scaling ML Pipelines

    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

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Learn SQL Basics for Data Science

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Practical Machine Learning on Databricks

    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

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Amazon Sagemakaer Essesntials

    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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    644 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular feature engineering courses

  • xDesign Feature Patterns and Sweeps: Dassault Systèmes
  • Scaling Scrum for Large Systems Engineering Projects: University of Colorado System
  • Using Rapid Prototyping in the Engineering Design Process: Arizona State University
  • Advanced Features and Polish for a Pinball Game in UE: EDUCBA
  • Data Cleaning, Transformation, and Manipulation: Coursera
  • Generative AI: Elevate Your Data Science Career: IBM
  • Building and Scaling ML Pipelines: Edureka
  • Learn SQL Basics for Data Science: University of California, Davis
  • Practical Machine Learning on Databricks: Packt
  • Amazon Sagemakaer Essesntials: Whizlabs

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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