STSCI 3040

STSCI 3040

Course information provided by the Courses of Study 2022-2023.

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course aims to prepare students for dealing with data using the R programming language.  The introduction will overview the basic R syntax, foundational R programming concepts such as data types, vectors arithmetic, and indexing, and importing data into R from different file formats.  The data wrangling topics include how to tidy data using the tidy verse to better facilitate analysis, string processing with regular expressions and with dates and times as file formats, web scraping, and text mining. Data visualization topics will cover visualization principles, the use of ggplot2 to create custom plots, and how to communicate data-driven findings.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: ECON 3110/STSCI 3110, ENGRD 2700.

Outcomes
  • Learn basic R syntax, foundational R programming concepts such as data types, vectors arithmetic, and indexing, and importing data into R from different file formats.
  • Learn data wrangling topics include how to tidy data using the tidy verse.
  • Produce professional and informative data visualizations.
  • Use R Markdown to create reports to document data analysis and communicate findings.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 5040

  • 4 Credits Stdnt Opt

  • 10338 STSCI 3040   LEC 001

  • Instruction Mode: In Person
    ECON / STSCI 3110, ORIE 2700

  • 10339 STSCI 3040   LAB 401

  • Instruction Mode: In Person

  • 10340 STSCI 3040   LAB 402

  • Instruction Mode: In Person