Skill Path

Feature Engineering

Machine learning is only as good as its training data. Learn how to process data properly before training your models.

Includes Python, Machine Learning, Algorithms, Datasets, Feature Selection, Dimensionality Reduction, Engineering, Data Transformation, and more.

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This skill path includes
2,776 learners enrolled
This skill path includes
  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    6 hours
  • Projects

  • Prerequisites

    3 courses
    We suggest you complete the following courses before you get started with Feature Engineering:
    • Linear Algebra
    • Getting Started with Python for Data Science
    • Python for Data Science: Working with Data

About this skill path

A machine learning model is only as good as the data it learns from. Feature Engineering helps ensure data quality by scaling, normalizing, and transforming raw data before using it in a machine learning model. In this Skill Path, you will learn to safeguard data quality, turn attributes into features, and verify that your data meets the assumptions of the model you want to train.

Skills you'll gain

  • Turn raw data into features
  • Select the right features for a model
  • Implement principal component analysis


4 units • 4 lessons • 4 projects • 3 quizzes
  • 1

    Introduction to Feature Engineering

    Find out what you’ll learn in the feature engineering skill path!

  • 2

    Transforming Data into Features

    Learn about different methods of transforming data into features.

  • 3

    Feature Selection Methods

    Learn about different feature selection methods and their implementations in Python!

  • 4

    Feature Engineering by Reducing Dimensionality

    Learn feature engineering methods that reduce the dimensionality of a dataset.

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
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    Earn a document to prove you've completed a course or path that you can share with your network.