Presentation and Visualization of Epidemiological Data

Monday, June 5, 2017 - Friday, June 9, 2017 8:30 AM - 12:30 PM

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Course Description

 

The purpose of this course is to introduce students to the fundamental aspects of communicating research findings visually. Emphasis will be placed on understanding the proper form of visualization to best portray the intended message, given the type of data being used. During the course, students will have the opportunity to walk through the basics of data manipulation and visualization using programs such as SAS ODS Graphics Designer and Microsoft Excel. Understanding how to manipulate, visualize, and present data are useful and important skills for anyone hoping to apply epidemiological methods and concepts.

 


Course Learning Objectives

By the end of this course, participants will be able to:

  • Determine what types of visualizations are appropriate for given data
  • Articulate basic principles of data visualization
  • Recognize, interpret, and critique commonly used epidemiologic data representations (graphs, figures, etc.)
  • Employ various graphical procedures in SAS that can be used to display epidemiological data for use in presentations or publications
  • Apply specific procedures in SAS that facilitate reporting of tabular data for the use in presentations or publications
  • Develop advanced techniques to manipulate and clean data sets in SAS

 


Prerequisites

 

Exposure and basic proficiency in SAS. This course focuses on the visual communication of data and research findings. To get the most out of the course, students should be comfortable with the basics of quantitative data analysis.

 


Course Reading List

N/A


Instructor(s)


John R. Pamplin II, MPH

John Pamplin is a doctoral student in Epidemiology who is broadly interested in the effect of structural discrimination on health.  In particular, John’s research focuses on the impact of institutionalized racism on the mental health of people of color.  John has served as a TA for several courses in the department since 2014, and co-instructed the Principles of Data Visualization course for the Executive MS in Epidemiology program in 2016.



Course Fee

Registration is $900.00

DISCOUNT of 10% will be applied at checkout for all registrations on or before April 1st.


Register

The registration period has closed for this event.


Location

Monday: Hammer LL210; Tuesday-Friday: Hammer LL107

Hammer Health Sciences Building
701 West 168th Street
New York, NY 10032

Click here for directions


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