skill track

Importing & Cleaning Data with R

Understanding how to prep your data is an essential skill when working in R. It’s what you have to do before you can reveal the insights that matter. In this track, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more. You'll then gain the skills you'll need to prepare your data for analysis, including converting data types, filling in missing values, and using fuzzy string matching. Throughout the track, you'll have the chance to apply your skills to real-world data such as customer asset portfolios and restaurant reviews. Start this track and gain the data prepping skills you need to clean your dirty data.

RClock14 hoursInterface4 Courses

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1
Introduction to Importing Data in R
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Clock3 hours
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Filip Schouwenaars

Data Science Instructor at DataCamp

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