AbracaDATA: be a BIG DATA wizard.

General description

Have you ever tried to understand the magic behind the BIG DATA?

Have you ever thought about becoming a student of Hogwarts School of Data-Witchcraft and Data-Wizardry?

If that’s the case, this is your course!

The goal of this course is to provide a general view about how Data Science is shaping companies nowadays. The student will learn about the basic concepts behind Data Science and how it is applied in very different domains, about the lifecycle of data-driven decisions, technological trends and how Data Science teams are shaped.

What is behind the data-spells we are going to learn?

- Background: basic concepts on maths, statistics, computing

- The data journey: the lifecycle of a Big Data project

- Big Data technologies and trends

- Data-driven companies

- Data profiles in the job market: data analyst, data engineer, data scientist

Not only spells but potions and driving a nimbus 2000 is shown on this course.

But that is not all, because all these activities will be done in the capital city of the country which invented tapas, long siestas and many other things that you will be able to experience yourself when you come to Madrid.

Don’t you hesitate to apply right now… unless you want be a muggle.


Academic information

Fields of activity:
Aerospace/Aeronautical Engineering , Applied Sciences , Computational Sciences , Computer Engineering , Computer Science/Automatic Control/Informatics , Control Engineering/Systems engineering , Electrical/Electromechanical Engineering , Electronic/Electrotechnical Engineering , Industrial Engineering , Multimedia and Communication Design , Telecommunications/Electronics
Content and topics:
Basic knowledge of Data Science.
Learning goals and objectives:
- Basic theoretical concepts behind Data Science - Where the concept of "Big Data" comes from and how it changed the paradigm - The stages of a Big Data project and how to address them - Current technological trends and their main actors - Current uses of Big Data in companies - Understand the Data Science market and what companies are looking for
Examination type:
Presentation or final project.
ECTS credits issued:
Not known yet

Information for applicants

Selection criteria:
Motivation letter and answers to the proposed questions.

Practical arrangements

All of the following are covered by the event fee:

Hostel or students dorms.
Three meals per day, at least one of them hot.
Bus, train, subway.