This course introduces the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. It also allows working with large data sets in a data warehouse environment to create dashboards and introduces a variety of business intelligence solutions.
Data Warehousing and Business Intelligence (BAN 831)
2021 Fall
Sabancı Business School
Business Analytics(BAN)
3
10
Mehmet Yasin Ulukuş yasin.ulukus@sabanciuniv.edu,
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Doctoral, Master
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| Programs\Type | Required | Core Elective | Area Elective |
| Business Analytics - Non Thesis | * |
CONTENT
PROGRAMME OUTCOMES
1. Develop the ability to use critical, analytical, and reflective thinking and reasoning
2. Reflect on social and ethical responsibilities in his/her professional life.
3. Gain experience and confidence in the dissemination of project/research outputs
4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments.
5. Communicate effectively by oral, written, graphical and technological means and have competency in English.
6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating.
1. Develop, interpret and use statistical analyses in decision making.
1. Demonstrated understanding of data-driven decision modeling and analysis concepts/frameworks.
2. Knowledge of and hands-on experience with fundamentals of business analytics, management information systems, statistical and prediction models.
3. Ability to transform complex data into valuable insight and resulting value-adding actions.
4. Skills in hands-on data-mining tools and techniques.
5. Exposure to the analytical methods in basic business disciplines such as marketing, operations, and finance