Introduction to Data Visualization with ggplot2

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This tutorial provides an introduction to data visualization in the field of data science, specifically focusing on R and the ggplot2 software. The course covers the basics of creating meaningful and visually appealing data visualizations using the grammar of graphics plotting concepts. ggplot2 is widely recognized as the go-to tool for creating professional and flexible plots in R. The course emphasizes three main layers of a plot: Geometries, Data, and Aesthetics. By mastering these concepts, participants will gain the ability to create complex exploratory plots. This course overview serves as a valuable resource for those interested in delving into the world of data visualization and analytics within the realm of data science.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

Here, we’ll examine the first three essential layers for making a plot - Data, Aesthetics and Geometries

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics

Course Content

Expand all sections

Module 1: Introduction

Module 2: Aesthetics

Module 3: Geometries

Module 4: Themes

Course Instructors

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

Rick Scavetta is a biologist, workshop trainer, freelance data scientist and co-founder of Scavetta Academy, a company dedicated to helping scientists better understand and visualize their data. Rick...