In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business.
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
In this course, you will use R to perform common data science tasks. You will:
Set up an R development environment and execute simple code.
Perform operations on atomic data types in R, including characters, numbers, and logicals.
Perform operations on data structures in R, including vectors, lists, and data frames.
Write conditional statements and loops.
Structure code for reuse with functions and packages.
Manage data by loading and saving datasets, manipulating data frames, and more.
Analyze data through exploratory analysis, statistical analysis, and more.
Create and format data visualizations using base R and ggplot2.
Create simple statistical models from data.
Length: 5.0 days (40 hours)
5:00 PM ET