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Visualization Best Practices in R

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Course Report - Visualization Best Practices in R

Course Report

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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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

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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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 Instructors

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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...
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