• Course Code: 01:198:142
  • Title: 01:198:142 Data 101: Data Literacy
  • Short Description: This class aims to provide you with a basic set of tools for data literacy as well as general view of the impact of data on society and elements of common-sense data analysis and reasoning. A significant piece of the class will be learning foundations of R.
  • Institution: Rutgers-New Brunswick (RUNB)
  • Credits: 4
  • Course Type: Undergraduate
  • Degree Type (BA/BS): Foundational Courses (All Tracks)
  • Track Option: Chemical Data Science Track (Code: NB219CJ), Computer Science Track (Code: NB219SJ), Economics Track (Code: NB219EJ), Societal Impact Track (Code: NB219IJ), Statistics Track Courses (Code: NB219TJ)
  • Degree Option: Foundational Courses (All Tracks)
  • Prerequisite: placement in 01:640:026 (placement into Intermediate Algebra or higher, or completion of Math 025. No programming experience required).
  • Note: This course may not be used toward RUNB Computer Science (CS) major degree credit.
  • Expected Work: Weekly Data Puzzles, Presentations, Homework, Final Project.
  • Exams: Midterm exam and final exam.