Big data analytics and businessLaajuus (5 cr)

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

Materials

The learning materials consist of the lecture materials distributed in the course, possible additional materials and resources found on the internet. At the beginning of the course, a more detailed list of recommended study materials and sources is distributed.

The course literature mainly consists of articles, reports and online materials related to the course themes. At the beginning of the course and as it progresses, a more detailed list of course literature will be distributed.

Execution methods

The implementation of the course mainly takes place through lectures and possible guest lectures. Each lecture week focuses on a specific theme, and in addition to lectures, students are given tasks and materials for independent study. In addition, the course may use recordings of guest lectures and webinars available online.

Accomplishment methods

The course is completed by writing a learning diary every week. Entries are made once per week. Each week has a theme.