Introduction to Big Data

Business value of big data, types of analytics, capabilities, and applications of bigdata. Introduction to big data techniques and programming. The course contents are adapted with relevant teaching materials for the industry, e.g. using relevant datasets, chosen examples, applications and cases relevant for the industrial sector.

The candidate:

- understands business value of big data.

- Knows about content, capabilities and applications of big data.

- knows about techniques for analysis and visualization of big data. - is familiar with big data architecture.

- understands privacy and trust issues in big data.

Skills:

The candidate:

- can articulate and communicate with stakeholders the business value of big data.

- can structure the process of big data analytics and compose big data analytics teams.

- can propose and use relevant big data techniques in practical projects.

General competence:

The candidate:

- has an understanding of the significance of big data in companies and society at large.

- can take part in planning and implementation of big data projects.

- can identify, plan and implement individual tasks in big data projects.

The course is fully online and consists of lectures with compulsory exercises.