CB399: Public Health 101: Fundamentals of data analysis and data visualization in R Fall 2015

Public Health 101: Fundamentals of data analysis and data visualization in R

Course Instructors: Lauren Childs, Ph.D., Catherine Kreatsoulas, Ph.D, Xiaoxue Li, Ph.D., Jin Lee, Ph.D.

Curriculum Fellow:  Bradley Coleman, PhD: bradley_coleman@hms.harvard.edu

Day 1 Interest Form: LINK HERE

Statistics is the study of collecting, organizing, analyzing, interpreting and communicating data with techniques that can be applied to a wide range of fields including basic science, economics, social science, medical research and public health. Statistics are a powerful tool for understanding and analyzing data, and computer programs are indispensable for many analyses. R is one of the most commonly used statistical programming language and software environments in the field, and it excels in data analysis and data visualization. It is free and easy to manage with extensive references available online. This course reviews basic concepts in statistics, introduces basic programming in R and gives hands-on examples for implementing these analyses and data visualization in R.  In this course, we focus on a dataset of lung cancer in patients at a hospital as an example of how to use descriptive and inferential statistics in analysis and how to visualize them in R. Note: computers will not be provided so please bring a laptop. You will also need to install R from (https://cran.r-project.org/) and RStudio from (https://www.rstudio.com/products/RStudio/) prior to the workshop.

Schedule: 

First Session (open to the Harvard community): Thursday, November 5 1:00 - 3:30 PM
Location: Armenise 125 Amphitheater

Second Session (limited to registered students): Thursday, November 12 1:00 – 4:30 PM 
NOTE ROOM CHANGE: TMEC Building, Room 250

DROP DEADLINE: Thursday, October 29, 2015

 

AUDITORS (Post-Docs, Faculty, or Staff) PLEASE SIGN THE INTEREST FORM TO ATTEND THE 1st SESSION. LINK HERE