Programming and Data Literacy Using R
Credit Hours:
4 hours
Elementary statistical analysis and data manipulation in R. Topics include algorithms, programs, and computing in R. Fundamental techniques of program development in R. Programming projects and applications. Hands-on experience of data input/output and formatting, brief introduction to object-oriented programming, introduction to statistical computing and very elementary data analysis and graphics.
3 hours lecture and 2 hours lab per week.
Prerequisites:
STAT 2000 or STAT 2100H or STAT 2010
Prerequisite or Correquisite:
STAT 4210
Semester Offered:
Fall
Spring
Summer
Level: