Live training

Cleaning Data in R

Join us or this live, hands-on training where you will learn about one of the most important data science tasks: cleaning dirty data. You'll learn to identify problems that arise from dirty data and how to solve them using R to prepare your data for analysis.

Tuesday 16 June, 11 AM EDT, 4 PM BST
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What will I learn?

You will learn how to:
  • Diagnose different types of dirty data
  • Perform a range of data cleaning tasks
  • Ensure that variables have values that make sense
  • Effectively address missing values

What should I prepare?

You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This course is open to all DataCamp Premium learners, looking to gain confidence in their data cleaning skillset. We recommend that you have taken the following course before attending:

  • Data Cleaning in R

Presenter Bio

Maggie Matsui Headshot

Maggie Matsui

Senior Content Developer

Maggie is a Senior Content Developer at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statistics as a tutor and teaching assistant. She's passionate about teaching all things data-related and making programming accessible to everyone.
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