Courses Details

BIOSTAT591: Introduction to R

  • Graduate level
  • Both Online MPH and Online MS
  • This is a first year course for Online students
  • Spring-Summer term(s) term for online MPH students; Winter term(s) term for online MS students.
  • 2 Credit Hour(s) for online MPH students for residential students; 3 Credit Hour(s) for online MS students
  • Instructor(s): Boonstra, Philip (Online MPH); Boonstra, Philip (Online MS);
  • Prerequisites: None
  • Description: This is a two-credit hour course preparing students enrolled in the online MPH and MS programs -- Biostatistics concentration to be 'data-ready' using the R statistical environment.
  • Learning Objectives: Understanding the need to plot data Matching graphical techniques and data type Creating your set of 'go-to' graphical tools Understand the limitations of 'point and click' Incorporating the tidyverse into R Turning your "data" into data Learning R's capabilities Asking the right questions in R Writing reproducible R code Writing shareable R code CEPH learning objectives 1. Select quantitative and qualitative data collection methods appropriate for a given public health context 2. Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming and software, as appropriate 3. Interpret results of data analysis for public health research, policy or practice