- 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.