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First Steps in R: Importing and Exporting Data

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First Steps in R: Importing and Exporting Data

Instructor: Microsoft

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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There is 1 module in this course

This course teaches you how to efficiently import and export data in R using Microsoft Visual Studio Code. Through hands-on practice, you'll learn various methods to bring data into R from common file formats like CSV, Excel, and text files, as well as how to save your processed data. The course features practical exercises that prepare you for handling real-world data tasks in your analysis projects.

Module details

Welcome! Before we dive into importing and exporting data in R, you will get familiar with using R within Microsoft Visual Studio Code on the Coursera platform. You'll learn how to navigate the Visual Studio Code interface and workspace that's already set up for you. This brief orientation will ensure you're comfortable with the environment before we begin working with data import and export functions. Then, you will learn practical skills to bring data into R from various file formats commonly used in the workplace. You'll discover how to import data from CSV files, Excel spreadsheets, and text files, handling common issues like missing values and inconsistent formatting. You will also learn how to export your processed data back into different file formats, ensuring your work can be easily shared with colleagues. These fundamental data importing and exporting skills will help you efficiently manage data flows in your R projects.