R Programming Courses
R is influential and popular in the data science world. Known for its computational strength and ease of use in analysis, you can’t go wrong learning R! It’s a popular programming language for statistics, which is why it works so well for data visualization, data analysis, and data science.
You might be wondering where to start, or how to build on your current skills. Dataquest has you covered. Whether you’re just testing the waters with R or looking for more advanced R training resources like web scraping and APIs, you’ll find what you’re looking for right here.
Career & Skill Paths
Benefits of Learning R Programming Language
Here are some of the surprising benefits of learning R.
- The R programming language is exemplary for machine learning operations and developing artificial intelligence. Artificial intelligence is a rapidly growing field, which means you become a stand-out applicant in the job market with R programming skills.
- You can integrate R programming with other popular programming languages like Java and Python. A well-rounded data professional knows both Python and R, making them stand out on the job market. Open the door to a career in data statistics and analysis. R programming is the leader in the statistics industry. Overall employment of statisticians is expected to grow 33% by 2029, making it a great field to get into now.
How Do Our R Programming Language Courses Work?
Whether you have no coding experience or you’re looking to expand your skill set, we have courses to help you hone your skills, create data visualizations, work on projects, and build your portfolio.
Here’s a quick overview of how our R programming language courses work:
Employees at the following companies have benefited from Dataquest courses:
Who Are These R Programming Language Courses For?
These paths are for beginners, mid-career managers who want to upskill and be able to make impactful organizational decisions as well as for those looking to transition their career into data science, data analytics or data engineering.
- People who want a career in artificial intelligence or machine learning
- Professionals who want to advance in their current data science position
- Individuals who want to learn the fundamentals of a versatile computer programming language
- Anyone who wants to discover how statistics and probabilities work with data
- Students who want to level up their data analysis skills for academic papers
- Researchers who want an alternative way to approach data
- Business executives who want to extract insights from their data to make important decisions or build vital business workflow tools