This course will provide a foundation in the area of data science based on data curation and statistical analysis. The primary goal of this course is for students to learn data analysis concepts and techniques that facilitate making decisions from a rich data set. St udents will investigate data concepts, metadata creation and interpretation, general linear method, cluster analysis, and basics of informa tion visualization. At the beginning, this course will introduce fundamentals about data and data standards and methods for organizi ng, curating, and preserving data for reuse. Then, we will focus on the inferential statistics: drawing conclusions and making decisions from  data. This course will help students understand how to use data analysis tools, and especially, provide an opportunity to utilize an open  source data analysis tool, R, for data manipulation, analysis, and visualization. Finally, in this course we will discuss diverse issues around data including technologies, behaviors, organizations, policies, and society. Previously LIS 690 course. Fulfills an IT requirement.

Same as ICT 661: counts toward the Data Science core requirement for ICT master's students.