Christian ShinAssociate Professor of Management: School Of Business
A.A.S., Laguardia Community College
B.B.A., Baruch College
M.S., SUNY Buffalo
Ph.D., University of Maryland, College Park
International Association of Science and Technology for Development
More About Me
Dr. Shin's research interests are in the areas of databases, and image recognition and retrieval.
DANL 100: Programming for Data Analytics
This course introduces the essential general programming concepts and techniques to a data analytics audience without prior programming experience. The goal is to equip the students with the necessary programming skills to be successful in the other courses in the Data Analytics program. Topics covered include data types such as numbers, characters, and Boolean (or logical values) as well as control and programming structures such as loops, conditionals (e.g., if-else), and functions. Topics also include R specifics (such as list, data frame, factor, apply, RMarkdown), and Python specifics (such as numpy, pandas, Jupyter Notebook). Examples are drawn from the problems and programming patterns often encountered in data analysis. It will use the programming language R in the first part of the course and Python in the second part.