Hands On Training

Introduction to Importing Data in R

via

DataCamp

Course Features

Duration

3 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

3 hours

Course Description

Importing data into R is the easiest way to start your analysis. Data can come in many formats. These formats include text files, statistical software files, as well as databases or HTML data. Before you begin the actual analysis, it is crucial to choose the right approach. This course will show you how to read text files and.csv files using R. Next you will learn about data.table and reader packages which allow you to import flat file data quickly and efficiently. Next, you will learn how to open.xls file using readxl and gdata in R.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

What You Will Learn

In this course, you’ll start by learning how to read .csv and text files in R

You will learn how to read .xls files in R using readxl and gdata

You will then cover the readr and data.table packages to easily and efficiently import flat file data

Course Content

Expand all sections

Module 1: Importing data from flat files with utils

Module 2: readr data.table

Module 3: Importing Excel data

Module 4: Reproducible Excel work with XLConnect

Course Instructors

Filip Schouwenaars

Data Science Instructor at DataCamp

Filip is the passionate developer behind several of DataCamp's interactive courses, covering both R and Python. Under the motto 'Eat your own dog food', he has used the techniques DataCamp teaches it...