DIGIHUM 2144A
0.50 credit · Main
A comprehensive and interdisciplinary introduction to data analytics using modern computing systems, with equal attention to fundamentals and practical aspects. Topics include sources of data, data formats and transformation, usage of spreadsheets and databases, statistical analysis, pattern recognition, data mining, big data, and methods for data presentation and visualization.
Computer Science 2034A/B.
2 lecture hours, 2 laboratory/tutorial hours.
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