Data Science for Business Intelligence (DSBI)
Aarhus University
Business intelligence refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business data in order to support business decision making. Essentially, it is a collection of data-driven decision support models. Data science studies the computational principles, methods and processes for extracting information and knowledge from various types of data. It has been successfully used in many fields such as economics, finance, marketing, psychology, physics, and engineering, to provide insights into data as well as to support decision making. This course teaches students analytical skills on empirical data by introducing popular data science methods to support decision making and evaluation in business. It uses a combination of lectures and workshops. The course emphasizes the practical applications and makes extensive use of Python for business data visualization and analysis.
Location | Aarhus, Denmark |
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Period |
22 Jul 2019
- 9 Aug 2019
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level | Bachelor / Undergraduate |
Credits | 5.0 ECTS |
Program fee | 345 EUR |
Accommodation fee | 490 EUR |
Extra information about the
fee: Exchange students: No Fee Freemovers, EU/EEA: 345 EUR Freemovers, NON-EU/EEA: 730 EUR Books, course materials, social programme, and housing are not included in the fee. |
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Application deadline | 1 April 2019 |
Entry
requirements: Course specific: To apply for the course you must either be enrolled in a bachelor's degree, have a bachelor's degree or have passed a qualifying entry examination. The course is designed as an introductory course for third-year undergraduates in social science. Although the course is self-contained and fundamental mathematics will be reviewed, students are expected to have basic mathematics knowledge (i.e., calculus and linear algebra). General: Exchange students: nomination from your home university Freemovers: documentation for English Langauge proficiency You can read more about admission here: https://international.au.dk/education/admissions/summeruniversity/how-to-apply/ |
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Contact information: |