Hands On Training

Visualization Best Practices in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course will help you improve your data visualization skills beyond the basic level and make them an important part of your data science toolkit. Two different datasets will be used to illustrate different types of data (proportions, point-data, single distributions and multiple distributions). We will also discuss the advantages and disadvantages of common visualizations. We'll also be discussing lesser-known visualizations, and how to adjust default settings for ggplot so you can effectively communicate your message.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to Data Visualization with ggplot2

What You Will Learn

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements

Over the lessons we will use two interesting open datasets to cover different types of data (proportions, point-data, single distributions, and multiple distributions) and discuss the pros and cons of the most common visualizations

Course Content

Expand all sections

Module 1: Proportions of a whole

Module 2: Point data

Module 3: Single distributions

Module 4: Comparing distributions

Course Instructors

Nicholas Strayer

Biostatistician at Vanderbilt

I am currently biostatistician and data scientist at Vanderbilt University. My research focuses on the fusion of machine learning and data visualization to explore and explain electronic health recor...