Robert Kabacoff

Professor of the Practice Quantitative Analysis Center

Weslyean University

Biography

Welcome to my academic homepage. I’m a professor of quantitative analytics at Wesleyan University, where I teach courses in applied data analysis, machine learning, pattern recognition, data journalism, and statistical software development.

My books include:

I’ve also created a website called Quick-R, for rapidly learning the R language.

Interests

Machine Learning & Predictive Analytics
Statistical Programming
Data Visualization
Multivariate Statistics

Education

Postdoctoral fellowship, 1984-1986

Brown University Medical School
PhD in Clinical Psychology, 1985

University of Missouri - St. Louis
Pre-doctoral Internship, 1983

Medical University of South Carolina
BS in Psychology, 1978

University of Connecticut

Experience

August 2016 – Present

Connecticut

Professor of the Practice - Full

Wesleyan Univeristy

Responsible for teaching courses in data analysis, data visualization, research methodology, and statistical programming.

August 2010 – June 2016

Maine

Senior Data Scientist and Educator

Research Consulting

Independent practice providing 1, 3, and 5 day courses in predictive analytics, data visualization, and statistical computing and R software development to government agencies, Fortune 500 companies, and national societies.

June 1997 – June 2016

Maine

Vice President of Research

Management Research Group

Chief data scientist and statistical analyst, responsible for providing research and consultation to academic, government, corporate, and humanitarian institutions in North America, Western Europe, Africa, and Asia.

June 1987 – June 1997

Florida

Professor

Nova Southeastern University

Professor in Center for Psychological Studies, teaching graduate courses in multivariate statistics, statistical computing, research methodology, psychometrics and measurement.

Academic appointments
1996-1997: Full Professor
1990-1996: Associate Professor
1990-1993: Director of Research Support and Statistical Training
1987-1990: Assistant Professor

Teaching

I currently teach the following undergraduate courses:

QAC201: Applied Data Analysis
QAC250: Introduction to Data Journalism
QAC305: Exploratory Data Analysis and Pattern Discovery
QAC356: Advanced R: Building Open-Source Tools for Data Science
QAC385: Applications of Machine Learning in Data Analysis