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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

  • 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

Prerequisites

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

Duration

18 Hours | 3 Days or 6 Nights
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Enroll Now - Select a section to enroll in
Section Title
Data Science and Analytics with R
Type
Instructor-Led
Days
T, Th
Time (Central Time)
5:30PM to 8:30PM
Dates
Sep 02, 2025 to Sep 18, 2025
Schedule and Location
# of Course Hours
18.0
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.