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as of 7/2/2022

DATA ANALYTICS
Country - Partner Institution - Programs: Netherlands - Utrecht University - 'Utrecht Univ.'
UC Course SubjectComputer 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