Scarlett Wang is an Adjunct Assistant Professor of Public Service of NYU’s Robert F. Wagner Graduate School of Public Service. She is also an Assistant Research Scientist and Analyst at the Health Evaluation and Analytics Lab (HEAL) at NYU Wagner. She is currently analyzing the patterns of health, criminal justice and homeless service system contact using the NYS Medicaid claims and Rikers Island admission data. Prior to joining HEAL, Scarlett was a teaching assistant and a research assistant at Columbia University’s Mailman School of Public Health. Scarlett has a Bachelor's degree in Applied Psychology and Sociology and a MPH in Epidemiology from Columbia University.
R is a powerful open source language and environment for statistical computing and graphics. R provides a wide selection of statistical and graphical techniques. It is rapidly becoming the leading language in data science and statistics. R can easily tackle linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering and more.
This 7-week course leads the students into the R world, helps them master the basics and prepares them with plenty resources for self-advancement in the future. The course offers students basic programing knowledge and effective data analysis skills in R in the context of public policy-making and policy evaluation. Students will learn how to install R and RStudio, comprehend and use R data objects, become familiar with base R and several statistical and graphing packages. The course will also teach students to develop their own R functions, which they can use, improve or adapt in the future.