Courses Details

BIOSTAT591: Introduction to R

BoonstraPhilip
Boonstra, Philip
  • Graduate level
  • Both Online MPH and Online MS
  • This is a first year course for Online students
  • Spring-Summer term(s) for online MPH students; Spring-Summer term(s) for online MS students.
  • 2 credit hour(s) for online MPH students; 2 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
Concentration Competencies that BIOSTAT591 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
Population and Health Sciences MS Apply methodological skills needed to plan, conduct, critique and/or research population health issues and solutions. BIOSTAT591, PUBHLTH511, PUBHLTH512, PUBHLTH515, PUBHLTH682, PUBHLTH683