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
|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|