Back

Data Engineering

    Detalhes do curso

  • Objetivos do curso

    Data Corner, an official member of the Pack for Skills and EIT Deep Tech Initiative under the European Commission (EC), whose participation with the Polytechnic Institute of Setúbal, within the scope of the SONDA2026 project, in offering this training proposal aims to contribute to the EC's goal of retraining one million deep tech professionals in Europe by 2025.
    Together with short courses based on projects in data science and data analysis, this course is designed for a target audience interested in acquiring practical skills in these three categories of data analysis in a short period of time (3-4 months) and using them to deal with real problems.
    In addition, participants in these training courses will have an online profile on the Elites Galaxy platform, which is recognised by the European Commission's Pact for Skills programme as an innovative social network for lifelong learning.
    This project-based course is aimed at candidates who have knowledge of programming and database administration and who wish to expand their knowledge and skills in the field of Data Engineering. The course focuses on providing students with the knowledge and practical experience necessary to design and implement ETL (Extract, Transform, Load) pipelines in Data Engineering projects. Throughout the course, students will learn concepts about the fundamentals of Data Engineering, data warehousing architecture, data sources, metadata management, and data integration. In addition, they will gain practical experience in building ETL pipelines
    using the following tools: Microsoft SQL Server Integration Services (SSIS), Talend, with developments in Python. The course emphasises a project-based learning approach, in which students will have the opportunity to work on real Data Engineering projects, allowing them to apply the knowledge acquired in the classroom to real-world scenarios. In addition, students will also have the opportunity to participate in a data analysis hackathon, with the aim of applying their new skills to solve real-world problems using Data Engineering techniques.

  • Escola

    ESTS - Escola Superior de Tecnologia de Setúbal

  • Regime de estudo

    presencial - DayTime

  • Objetivos da aprendizagem e competências a desenvolver

    The training program focuses on teaching trainees the fundamental concepts and techniques
    of data engineering, with a particular emphasis on implementing ETL (Extract, Transform,
    Load) projects and adopting ELT (Extract, Load, Transform) approaches.
    • The program also emphasizes the development of teamwork skills, enabling students to
    actively participate in data engineering projects through hands-on experience.
    • As part of the training program, students have the opportunity to attend data analytics
    hackathons, where they can apply what they have learned to solve real-world problems by
    delivering innovative data engineering solutions.
    • The program also aims to familiarize students with research works in the data engineering
    domain, thereby helping them to stay up-to-date with the latest developments and best
    practices in this rapidly evolving field

  • Saídas profissionais

    -

  • Coordenador/a do curso

    -

  • Reconhecimento da Aprendizagem Prévia

    with online supervision

  • Condições de acesso e ingresso

    This course is designed for workers from industrial or service companies, students, or the general public interested in developing skills in the area of data engineering.

    A informação disponibilizada não dispensa a consulta à página da Direção Geral do Ensino Superior (DGES) e/ou a página de candidaturas.

  • Requisitos para obtenção da qualificação

    6 - Bachelor's degree

  • Enquadramento legal e acreditação

    Short Course conferring Microcredential

  • Selecionar Ano Letivo:

  • Tipo de Curso

    Curso Breve conferente Microcredencial

  • Código DGES

    5010

  • Qualificação Atribuída

    Curso Breve conferente Microcredencial

  • Duração

    1 Hora

  • Créditos ECTS

    6.0

  • Efetuar candidatura

    Candidatura
Visão Geral da Privacidade

Este site utiliza cookies para oferecer a melhor experiência possível. As informações dos cookies são armazenadas no navegador e permitem funcionalidades como reconhecer cada visitante quando regressa ao nosso site e ajudar a nossa equipa a perceber quais as secções que considera mais interessantes e úteis.

Cookies Estritamente Necessários

Os cookies estritamente necessários devem estar sempre ativados para que possamos guardar as preferências de configuração de cookies.

Cookies de Terceiros

Este site utiliza o Google Analytics para recolher informação anónima, como o número de visitantes do site e as páginas mais populares. Manter este cookie ativado ajuda-nos a melhorar o nosso website.