Data Analytics with R

data analytics student at console 550w

Do you work with data on a daily basis? Are you finding that tools like Excel are holding you back in both your analysis and productivity? Are you spending hours copying and pasting into a presentation or report, only to do it all over again because a requirement changes or the data needs to be refreshed?

This course introduces business professionals to the power of the R programming language for data analysis, visualization, and reporting. Through real-world scenarios and datasets in a project-based format, participants will learn how to leverage R in their day-to-day work to produce professional visualizations and summaries of their data, revealing insights that drive decision-making for their organization.

Course Dates: On Demand. Available beginning September 23rd, 2020.

Course Format: Online, asynchronous/self-paced with instructor feedback on two assignments.

Cost: $395

Course Topics include:

  • R and the RStudio software
  • Data analysis and visualization
  • Data loading, cleaning, and transformation
  • Reporting, reproducibility, and workflow

Learning Outcomes:

  • Load data from common sources such as Excel files, text files, databases, and even the web.
  • Understand your data through visualization and summary.
  • Share your results dynamically to common apps such as Excel, Word, and PowerPoint.
  • Automate common, repetitive data tasks.

This course is designed for business professionals who may not have “data” in their title but work with data frequently and find their existing toolset lacks the flexibility and functionality they need to produce meaningful insights. This course is also for those who want an introduction to the burgeoning field of data analytics.

Pre-requisites: No prior programming experience required; but experience with Excel and general spreadsheet tasks is a plus.

Other Requirements: Participants will need to be able to install R and RStudio on their computer and have Microsoft Office 2010 or later; minimum system requirements: Windows 10/8/7 or macOS 10.13+ operating system.

Pete Talbert is a Data Analyst in the Office of Institutional Data, Analytics, and Reporting at the University of St. Thomas. He has over five years of analytics experience, working primarily in K-12 and higher education. He holds an MA from the University of Minnesota in Organizational Leadership, Policy, and Development.

Course Format: Online, asynchronous/self-paced with instructor feedback on two assignments. 

Course Date(s): On Demand. Available beginning September 23rd, 2020.

Course Length: Approximately 13 hours to complete the course including all optional exercises.

Cost: $395


Questions? Please complete the form to the right so we may follow up with you. Or contact Jana Studelska, Program Coordinator, at 651-962-5564 or email for assistance.