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
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:
- This skill path consists of the one course listed below, which covers beginner to intermediate topics about data visualization with R.
- You’ll write real code with dozens of practice problems to validate and apply your skills.
- At the end of the course, you’ll complete a guided project to reinforce your new knowledge and expand your portfolio.
- When you complete the course, you’ll receive a certificate that you can share with your professional network.
- Once you complete this skill path, you’re welcome to explore other R skill paths, like APIs and Web Scraping and Probability and Statistics.
- Engage with our friendly community of data professionals, get feedback on your projects, and keep building your skills.
Enroll in this career path to learn data visualization using R!
Data Visualization with R Skill Path Course List
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:
- People who want a career as a data scientist or data visualization engineer
- People seeking remote work
- Anyone who works with data in telecommunication, finance, education, and healthcare
- Junior data scientists or data analysts who want to advance in their current position
- Anyone who wants to transform data into graphical representations
- Anyone who wants to discover how data visualization works
- Students who want to develop a competitive portfolio
- Data scientists or data analysts who want to expand the tools at their disposal
- R users seeking variety in their skills
- Data scientists who want to hone their data visualization skills
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:
- Data visualization engineer
- Data visualization specialist
- Data analyst
- Financial data analyst
- Marketing analyst
- Business data analyst
- Data engineer
- Data scientist
- Data visualization developer
- Data governance analyst
- Data visualization developer
- UX/UI Designer
- Healthcare data analyst
- BI analyst
- Sports analyst