I teach business analytics and data visualization at New York University. My instruction emphasizes conceptual understanding and data interpretation. I like to use case studies.
Please contact me if you would like to organize courses for your organization.
Careers in Data Science and Business Analytics // NYU
Data Science and Business Analytics are red-hot in the business world -- there are definitely more jobs than qualified people. Is this the right field for you? How do you find a job in this field? Finally, how do you build a lasting career in analytics?
Statistics for Management I // NYU
A practical introduction to statistics as applied to business and management problems. Most students are brushing up their math skills in advance of graduate school and business school while others need a refresher for work. Key topics include summary statistics, statistical graphics, language of probability, confidence intervals, linear and logistic regression, and statistical significance. Ample use of case studies. Emphasis on interpretation and concepts.
The Art of Data Visualization // NYU
The Graph Making Workshop. First of a kind offering. Conducted in the style of a creative writing workshop, this course trains students in the craft of making and re-making charts, and giving and receiving critique on data visualization. Students are encouraged to integrate the statistical, computer-science, and design perspectives.
Also a part of the Certificate in Analytics and Data Visualization.
News, Narratives & Design I // New School
In Spring 2015, I am a guest lecturer in the Journalism + Design program at the New School, focusing on data journalism.
Information about the Journalism + Design program.
Business Analytics and Data Visualization // NYU
Offered as part of the Marketing Analytics track in the M.S. in Integrated Marketing program. Overview of analytics and data visualization in businesses. Introduction to Big Data and predictive analytics. Hands-on training on using SAS Enterprise Guide and JMP data discovery software. In-class presentation of analytics findings. Managing the analytics function.
NYU Certificate in SAS Data Mining for Marketers
Intensive lab courses introducing SAS programming. Four modules include Introduction to SAS Programming Concepts; Data Integration, Manipulation, and Querying; Basic Statistical Analysis; and Advanced Data Mining Techniques. Hands-on in-class exercises.