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TOPICS IN DATA ANALYTICS

Module code: ST662
Credits: 5
Semester: 2
Department: MATHEMATICS AND STATISTICS
International:

	Overview
	Data science overview. Data analytics life cycle. A selection of topics such as the following will be covered: More data handling, relational data. Object-oriented programming in R. Interactive data visualisation. Missing data techniques. Classification with naive Bayes. Time series. Text analysis. Graphs and social networks.

	Learning Outcomes
	On successful completion of the module, students should be able to: Pass a Data Analytics certification exam, such as that offered by EMC in Data Science and Big Data Analytics.

Teaching & Learning methods

Assessment

	Autumn Supplementals/Resits
	Are supplemental/resit registrations permitted? Yes NO AUTUMN REPEAT. Is Supplemental Continuous Assessment registration permitted? No Is Supplemental Continuous Assessment capped? No

	Pre-Requisites
	ST661, CS621C

	Co-Requisites
	ST464

Timetable

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