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as of 7/2/2022
DATA ANALYTICS
Country - Partner Institution - Programs:	Netherlands - Utrecht University - 'Utrecht Univ.'
UC Course Subject	Computer Science
Number & Suffix:	101
Full UC Title:	DATA ANALYTICS
Transcript Title:	DATA ANALYTICS
UC QTR Units - Division:	6.0 - Upper Division
Course Description:	This course covers the following: relevance of life science and health in applying Data Analytics (DA); evaluation methods for different DA processes and their differentiating key aspects; the steps of the Cross-Industry Standard Process for Data Mining (CRISP-DM) on data analytics applications; selected techniques and algorithms application to a data set from a task-oriented perspective using the CRISP-DM; analysis of semi-structured and unstructured data, for example using text analysis; using external data sources in analyses to derive new insights; the relation of the potential negative impact of data quality problems to each step of the CRISP-DM process. Prerequisites for this course include the following: Scientific Research Methods, Imperative, or Mobile Programming, or similar coursework.
Language of Instruction:	English
Partner Title:	DATA ANALYTICS
Partner University Department:	Information and Computing Sciences
Partner University Course Number:	INFOB3DA