QBS 181: Data Wrangling

Course Directors: Dr. Ramesh Yapalparvi

  • Course description: This course will cover the different types of data structures available in SQL and R, how they differ by dimensionality and how to create, add to, and subset the various data structures. You will also learn how to deal with missing values in data structures. Furthermore, since analysis is often a collaborative effort data scientist also need to know how to share their data. Lastly, data visualization is a key component that all data scientist needs to be fluent in.  Students will become competent users of Tableau. A course of data visualization will help students spend plenty of time learning to properly visualize your data.
  • Prerequisites:
    • Coursework: Calculus and Algebra. 
    • Programming: Intermediate programming experience in R.

Syllabus