Cleaning Data in R

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Course overview

Provider
Datacamp
Course type
Free trial availiable
Deadline
Flexible
Duration
4 hours
Certificate
Available on completion
Course author
Maggie Matsui

Description

Develop the skills you need to go from raw data to awesome insights as quickly and accurately as possible.
It's commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time analyzing it. The time spent cleaning is vital since analyzing dirty data can lead you to draw inaccurate conclusions. In this course, you'll learn how to clean dirty data. Using R, you'll learn how to identify values that don't look right and fix dirty data by converting data types, filling in missing values, and using fuzzy string matching. As you learn, you’ll brush up on your skills by working with real-world datasets, including bike-share trips, customer asset portfolios, and restaurant reviews—developing the skills you need to go from raw data to awesome insights as quickly and accurately as possible!

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