Data Science: From unDATAble to a Perfect Match

General description

With the rapid development of technologies to capture and transmit human, sensor and machine-generated data, the opportunities for data scientists are rapidly growing. This course is for beginners in data science interested in understanding the main concepts, methods and tools behind big data analytics and its applications. The aim is to cover the entire data science pipeline and to provide an integrated view on databases, data mining, machine learning and data visualization. The program includes lectures and practice problems using real-world data and case studies.

Despite all the irresistible academic activities we have planned, you will also have the opportunity to visit the beautiful city of Aveiro and the surrounding areas, such as Praia da Barra and its charming beachside. You can also enjoy great parties, get to know amazing people from every corner of Europe and have lots of fun. Combine all this, and you have the recipe for the best eight days of your summer! Are you ready to accept this challenge?

Academic information

Fields of activity:

Applied Sciences , Computational Sciences , Computer Engineering , Computer Science/Automatic Control/Informatics , Control Engineering/Systems engineering , Electronic/Electrotechnical Engineering , Mathematics , Telecommunications/Electronics

Content and topics:

- Machine Learning Algorithms; - Deep Learning Algorithms; - Natural Language Processing (NLP); - Information Retrieval and text mining; - Statistical Methods; - Data Visualisation.

Learning goals and objectives:

This BEST Course aims to provide the participants with a global perspective of Data Science concepts, presenting fundamentals of the whole Data Science pipeline from data mining and feature extraction, to machine learning algorithms and data visualisation. Along the way, there will also be an overview of NLP, statistical methods and information retrieval.

Examination type:

Project and/or Quiz.

ECTS credits issued:

0.5

Information for applicants

Selection criteria:

Based on the motivation letter, topic interest, answers to our questions and overall creativity.

Practical arrangements

All of the following are covered by the event fee:

Lodging:

University Dorms / Hostel.

Meals:

3 meals per day, at least one of them hot, and snacks. Home cooked traditional portuguese and mediterranean food.

Transportation:

Transportation will be on foot for short distances and organisation's cars/public transportations for longer distances.