Business Intelligence and Data Science Aspects in Practice

The course will include selected advanced topics in:

1.       Business Intelligence (BI) and Data Warehouse (DW) Systems in organization and business

2.       Characteristics, tasks, architectures, and application domains of BI and DW systems

3.       Strategic planning and development process of DW and BI systems

4.       Requirement specification of a DW & BI project work

5.       Database schema design for DW systems

6.       Physical database structures and operational performances of DW systems

7.       Extraction, Transforming and Loading (ETL) process in DW systems

8.       Aggregated data in DW systems

9.       Decision Support Systems (DSS), Data Analytics, Business Reporting, and application domains for BI and DW systems

10.   On-Line Analytical Processing (OLAP) – Concepts, Architectures and SQL capabilities

11.   Big Data and Data Analytics Thinking

12.   Data Science, Data Engineering and Data-Driven Decision Making

13.   Data Mining process and techniques for BI and Data Science

14.   Data Science and Business Strategy

15.   Design specification of a DW & BI project work