Course

Handling Missing Data

Learn how and when to tackle missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques.

4.29 out of 5 stars
2,450 learners enrolled
  • Skill level

    Beginner
  • Time to complete

    1 hour
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    3 courses

About this course

Nearly every dataset you’ll come across has missing data. So what are you going to do about it? This course will help you identify different types of missing data and how to address each using techniques in Python.

Syllabus

The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
Mobile-friendly version of a lesson and code editor for the course 'Introduction to HTML' running in Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of a mouse cursor hovering over the Python term "comment" displaying a Docs tooltip within a Codecademy lesson
Animated GIF of Jupyter notebook integrated within a course titled 'Merging Datasets' running in Codecademy's learning environment

Handling Missing Data course ratings and reviews

4.29 out of 5 stars
129 ratings
  1. 5 stars
  2. 4 stars
  3. 3 stars
  4. 2 stars
  5. 1 star
  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo

Frequently asked questions about Handling Missing Data

  • Nothing is perfect, and computers are no exception. Sometimes the data we collect is missing values for a given variable, which can skew analysis and results if not properly addressed.

Join over 50 million learners and start Handling Missing Data today!

Looking for something else?

Browse more topics

View full catalog

Unlock additional features with a paid plan

  • 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.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.