Course Description

Short Course | 18 hours | 1.8 CEUs | $1,975

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.

Course Outline

  • Lesson 1: Setting Up R and Executing Simple Code
  • Lesson 2: Processing Atomic Data Types
  • Lesson 3: Processing Data Structures
  • Lesson 4: Writing Conditional Statements and Loops
  • Lesson 5: Structuring Code for Reuse
  • Lesson 6: Managing Data in R
  • Lesson 7: Analyzing Data in R
  • Lesson 8: Visualizing Data in R
  • Lesson 9: Modeling Data in R

Learner Outcomes

  • Configure switches and end devices to provide access to local and remote network resources.
  • Explain how physical and data link layer protocols support the operation of Ethernet in a switched network.
  • Configure routers to enable end-to-end connectivity between remote devices.
  • Create IPv4 and IPv6 addressing schemes and verify network connectivity between devices.
  • Explain how the upper layers of the OSI model support network applications.
  • Use security best practices to configure a small network.
  • Troubleshoot connectivity in a small network


Familiarity with Statistics and Data Analytics is recommended, as well as some prior scripting or programming experience. BID675 or equivalent experience is required.


18 Hours | 3 Days or 6 Nights

Applies Towards the Following Certificates

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Section Title
Data Science and Analytics with R
T, Th
Time (Central Time)
5:30PM to 8:30PM
Sep 03, 2024 to Sep 19, 2024
Schedule and Location
# of Course Hours
Delivery Option
Course Fee(s)
Rate non-credit $1,975.00
Potential Discount(s)
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.