Ekaterina Levitskaya is an Adjunct Assistant Professor of Public Service of NYU’s Robert F. Wagner Graduate School of Public Service.
Ekaterina Levitskaya is an Associate Research Scientist at the Coleridge Initiative, New York University. She utilizes computational approaches to the social science research, with special focus on text analysis and natural language processing. Her background is in computational linguistics and applied data science. She is interested in applying computational skills for the projects with social impact and utilizing text as data in a variety of applications for the social science research.
The goal of this course is to develop the key data analytics skill sets necessary to inform evidence-based policy. Its design offers hands-on training in how to make sense of and use large scale real world heterogeneous datasets in the context of addressing real world problems. The main learning objectives are to develop a better understanding of how to develop and apply new techniques to analyze social issues using data from a variety of different sources. It is designed for graduate students who are seeking a stronger foundation in data analytics.