Faculty/Academic Area: Faculty of ScienceDepartment: Physics and Computer ScienceCampus: OtherEmployee Group: WLUFARequisition ID: 8229Position Title: CP612OC1 - Data Management & AnalysisTerm: Fall 2024 (September 1-December 30)Days/Times: Online DeliveryHours per week/Hours Total: Online
Type of Course: OnlineAnticipated Class Size: 50Additional Course Requirements: n/aPosted on: May 31, 2024Posting ends: June 15, 2024Position Summary:This course provides students with a broad overview of the concepts, techniques and tools of modern data management and analysis. It compares traditional relational databases with an alternative model (a NoSQL database), and explains how to choose the most appropriate means of storing and managing data, depending on the size and structure of a particular dataset and its intended use. Students are guided through the basics of using Hadoop with MapReduce and Spark. In data analysis, both theoretical concepts and algorithms in Association Mining, Classification, Clustering, etc., and a range of advanced applications, including Link Analysis, Recommender Systems, Computational Advertising, etc., are introduced.Please note:
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