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Organization, Regulations, and Courses 2024-25

QBS 181 Data Wrangling

Data wrangling is the process of mapping and transforming data into new formats for the increased ease and efficiency of downstream analysis. In this course, students will learn about the different types of data structures and formats, and how to create, merge, subset, and manipulate these structures. Students will wrangle data using excel, SQL, and R programming as appropriate, learn the principles of tidy data and the tidy verse, learn string processing with regular expressions, and have an introduction to web scraping and API’s for data collections.

(1 unit)

Instructor

Dr. Carly Bobak

Prerequisite

Linear Algebra. QBS 103 or Intermediate proficiency in R.

Offered

  • Fall