PBHL 4002 Data Science in R 3.0 Credits
This course is designed to provide students with sufficient programming knowledge and analysis experience in R to solve data science problems. The focus of the course is an understanding of the R computing platform with application to data analysis problems of a public health nature. The interactive classes will feature a lecture component and coding exercises. The RStudio environment will be the interface used for all class discussion.
Repeat Status: Not repeatable for credit
Prerequisites: PBHL 2030 [Min Grade: C] or PBHL 210 [Min Grade: C] or MATH 101 [Min Grade: C] or MATH 1001 [Min Grade: C] or MATH 121 [Min Grade: C] or MATH 1201 [Min Grade: C] or MATH 2801 [Min Grade: C] or MATH 311 [Min Grade: C] or HSCI 345 [Min Grade: C] or HSCI 4010 [Min Grade: C] or STAT 2201 [Min Grade: C] or STAT 201 [Min Grade: C]