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Business Intelligence and Analytics- Period 4 Computer Science Program Spring 2021 Semester - Amsterdam

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Business Intelligence and Analytics- Period 4

Business Intelligence and Analytics- Period 4 Course Overview

OVERVIEW

CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Business
Instruction in: English
Course Code: E_IBK3_BIA
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Knowledge of the fundamentals of statistics. Recommended knowledge Elementary course on (Management) Information Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of MIS (12th edition). BK: 2.1 Business Information Technology IBA: 2.1 Business Information Systems

DESCRIPTION

Dealing with the overabundance of data and the ability to transform data into insights have become critical success factors for organizations. This course offers the handles that are needed to unleash the potential of data, and business intelligence and analytics solutions in order to create competitive advantage. The course primarily has a managerial focus. The students will acquire hands-on experience with trending BI&A technologies to learn how to use their features and characteristics in practice. Our partners from the industry and the business consulting sector will be closely involved in the course, sharing their insights and experience during several interventions.

Keywords in this area are 'big data', 'data science', 'business intelligence', 'data mining' and 'data-driven decision making and innovations'

Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.

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