Study Guide

Objective

The aim of the course is to give students basic knowledge and skills about the meaning and application of big data analytics in business. Students understand the role of big data analytics in decision-making and business development in different industries. In addition, the goal is to introduce students to practical applications and business cases related to big data analytics from various industries either on the basis of guest lecturers or roundtable webinars.

Content

Big data analytics refers to the strategies used by organizations to collect, organize and analyze large amounts of data to discover valuable business insights that would otherwise not be possible through traditional systems.

The course covers the following themes:

- Basics and concepts of big data analytics
- The role of big data analytics in business
- Application of big data analytics in different industries
- Ethical and legal perspectives
- Future trends and opportunities

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The student provides strong evidence of skills and their development in the learning diary. The diary has a flawless style and content that is argumentative and insightful. In the learning diary, an entry has been verifiably added every week, the extent and level of content of which corresponds in terms of workload to the work according to the time use of the course. The source material has been critically evaluated and weighed.

Assessment criteria, good (3)

The student reflects or analyzes the development of his skills in his learning diary. The content of the learning diary is neat and clear, and the writing style is fluent and almost flawless. The work has sometimes been done either every other week or most weeks. The use of source material is systematic, clear to the reader, and the source material is versatile and appropriate.

Assessment criteria, satisfactory (1)

The student lists or applies basic skills in his learning diary. The content of the learning diary is unstructured or stylistically uneven. The learning diary has not been properly updated every week, but the most significant part of the work has been done in a week. A list of sources has been prepared, but there is little or no connection between the main text and the sources.

Prerequisites

The course does not require previous knowledge. However, business knowledge and an understanding of data warehouses are useful.