executive data science
principles
fundamentals of statistics, machine learning and algorithms - along with emerging technologies
ethics
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making
application
Assemble the right team, ask the right questions, and overcome the challenges of data science implementation
OVERVIEW
Taught by a distinguished executive team from Kennesaw State University's Analytics and Data Science Graduate Program, including the Assistant Dean and Director of the Analytics and Data Science Institute, Dr. Jennifer Priestley, and the Director of the School's Center for Statistics and Analytics, Dr. Gene Ray.
Aimed at corporate leaders, business managers, and anyone considering a career in data science, this workshop will cover the fundamentals of statistics, machine learning and algorithms that are critical components to data science initiatives.
JENNIFER PRIESTLEY, PHD
ASSISTANT DEAN, GRADUATE COLLEGE
KENNESAW STATE UNIVERSITY
Dr. Jennifer Priestley is the Associate Dean of The Graduate College and the Director of the Analytics and Data Science Institute at Kennesaw State University. In 2012, the SAS Institute recognized Dr. Priestley as the 2012 Distinguished Statistics Professor of the Year. She served as the 2012 and 2015 Co-Chair of the National Analytics Conference. Datanami recognized Dr. Priestley as one of the top 12 “Data Scientists to Watch in 2016.”
Dr. Priestley received a Ph.D. from Georgia State, a MBA from The Pennsylvania State University, where she was president of the graduate student body, and a BS from Georgia Tech.
HERMAN 'GENE' RAY, PHD
DIR., CNTR FOR STATISTICS + ANALYTICS
KENNESAW STATE UNIVERSITY
BIO COMING SOON