Data Visualization with R Skill Path

Data visualization is a critical skill for any data professional. Since people can’t process vast amounts of raw data, we rely on graphs, charts, and tables to help us turn data into something useful.

In this skill path, you’ll learn how to use R programming and ggplot2 to create meaningful data visualizations.

Ggplot2, which is a part of tidyverse, is an R package for data visualization. It’s one of the most versatile and easy-to-use tools for creating elegant graphics using R, and it’s the main focus of this path.

  • Learn the basics of ggplot2 for exploratory and explanatory data visualization
  • Gain experience in manipulating, comparing, and presenting compelling and actionable data
  • Discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more

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What You’ll Learn

R offers a good number of functions and libraries to present data and build visualizations. In our Data Visualization with R path you’ll learn how to transform raw data into straightforward graphs, plots, and charts using ggplot2.

After completing our interactive training courses, you’ll be able to use R to explore, manipulate, and visualize data using the most common visualization techniques. That means you can transform raw data into data-driven predictions and insights.

Enroll in this skill path if you want to learn how to do the following:

  • Implement the fundamentals of programming in R
  • Leverage the ggplot2 package to create bar charts, box plots, scatter plots, and other data visualizations
  • Use histograms to understand data distributions
  • Compare groups using bar charts and box plots
  • Interpret data trends and use data visualization to answer questions about data
  • Understand relationships between variables using scatter plots
  • Visualize distributions to understand data trends across multiple variables
  • Know when to use different data visualization techniques
  • Write a function to create multiple scatter plots at once
  • Visualize changes over time using line graphs
money in envelope

Data visualization salaries in the U.S. average $85K/yr, according to Glassdoor.

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The U.S. Bureau of Labor Statistics projects 28% growth in data science job skills by 2026.

R is purpose-built and uniquely designed for data analysis and statistical tasks.

How Our Data Visualization with R Skill Path Works

Demand for people with data visualization skills has never been higher. Learning R programming for data visualization will allow you to transform large and complex datasets into easy-to-understand visual representations.

Some find that creating data visualizations using R is easier with ggplot2 than with Matplotlib. That’s why we created this skill path⁠: to teach you the necessary data visualization skills to make data actionable and insightful.

At Dataquest, you start writing code in the very first lesson. 97% of our learners prefer our teaching method because it allows them to learn by doing as opposed to just watching videos. After all, hiring managers are looking for people who can demonstrate data visualization skills and apply them in real-world scenarios.

Additionally, with Dataquest, you’ll never learn alone. We have a robust community of data professionals and students who are eager to support you. So whether you’re stuck on a problem, need advice on a project, or are looking for resources to help you find a job, we’re here for you.

The main focus is on ggplot2 because it’s the primary tool in data visualization. Here’s a quick glance at the rest of this skill path:

Enroll in this career path to learn data visualization using R!

Data Visualization with R Skill Path Course List

Data Visualization in R

Learn to use the ggplot2 package for exploratory data visualization in R.

Who Is This Data Visualization with R Skill Path for?

Since there are many ways to implement data visualization, there are endless possibilities for who might want to take this path. Beginners, students, professionals, and even hobbyists will benefit from using R to create appealing data visualizations.

Here are a few examples of people who can benefit from this skill path:

Qualify for In-demand Jobs in Data Visualization with R

Data professionals are in high demand, and many businesses across a variety of industries are seeking candidates with data visualization skills. You can use the skills you’ll learn in this path in the following in-demand data jobs: