Overview
Context
Bring your data to life and master data visualizations with R and ggplot2. In this Data Visualization in R course offered by Data Camp, you'll develop the essential skills needed to analyze and display data effectively, allowing you to communicate insights and discoveries to non-technical stakeholders. Through hands-on practice, you'll learn how to use ggplot2 to create, customize, and enhance a wide range of visualizations.
From Beginner to Data Visualization Expert
Whether you're new to data visualization or looking to expand your skills, this Track has you covered. You'll start by learning the fundamental principles of the grammar of graphics, the foundation of ggplot2. As you progress, you'll explore intermediate features such as facets, coordinate systems, and statistics, enabling you to create more complex and informative plots.
Create Stunning Visualizations with ggplot2
Discover how to:
- Produce meaningful and visually appealing plots using ggplot2
- Customize plots with colors, themes, and labels to highlight key insights
- Use facets to display multiple plots simultaneously for easy comparison
- Apply coordinate systems to handle different data types and plot requirements
- Incorporate statistical analysis directly into your visualizations
Best Practices for Effective Data Storytelling
In the final course, you'll dive into data visualization best practices in R. Learn how to choose the right chart type for your data and audience, explore alternative visualization techniques, and enhance your plots with perception-driven style improvements. You'll also discover three common plot types to avoid and how to replace them with more effective alternatives.
Programme Structure
Courses include:
- Data Visualization with ggplot2
- Intermediate Data Visualization with ggplot2
- Visualization Best Practices in R
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 468 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- The Data Visualization Track is suitable for beginners.
- This Data Visualization Track is especially beneficial to data scientists, analytics professionals, data engineers, and business intelligence professionals.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions