Corso di alta formazione in From data to decision: a non-techincal course on data-driven decision making - 5926

Codice 5926
Anno accademico 2022-2023
Tipologia di corso Formazione permanente
Area di interesse Scientifico-tecnologica
Sede didattica Bologna
Direttore Angela Montanari
Durata 5 mesi
Costo € 500,00
Prevista selezione No
Scadenza bando

31/08/2022 (Scaduto)

Struttura proponente
Dipartimento di Scienze statistiche "Paolo Fortunati" - STAT
Lifelong Learning Certificate in Data Science is developed within the 1Europe Project and is one the expected deliverables of Self Steering Committee in Data Science and Artificial Intelligence (Grant Agreement for an action with multiple beneficiaries under Erasmus+: European Universities n. 612661, Project Reference 612661-EPP-1-2019-1-BE-EPPKA2-EUR-UNIV).
Lifelong Learning Certificate is a collaborative effort of University of Bologna, Universidad Complutense de Madrid, KU Leuven, University of Edinburgh, Jagiellonian University.

This program will introduce professionals to fundamentals of data science in a non-technical way, providing them with the skills to understand the importance of data-driven decision making and interact with technical data science teams in their organizations.
A chi si rivolge
The key target audience are professionals from different industry sectors with general IT literacy and a secondary school level background in mathematics.
Numero partecipanti
Minimo: 10 - Massimo: 50
Titoli d'accesso
All degrees or secondary school diplomas with proven work experience of at least 3 years;
B2 level of the English language.
Piano didattico
  • • Module 1 (online)
    - Types of data, data formats, and data collection methods;
    - Computational thinking: algorithms, storage, modelling;
    - Basic statistical properties of data sets, data quality;
    - Data cleaning, transformation and linkage;
    - Data visualisation and interpretation.

    • Module 2 (online)
    - Using simple analytics tools and building narratives;
    - Providing information to support decision-making;
    - Economic and societal value of data and analytics;
    - Ethical and legal aspects, social impact awareness.

    • Module 3
    The module is expected to be held in presence. The participants should reach a basic understanding of what a data science project is. In particular, they should develop the ability to cooperate in groups for the production of simple analyses, and to understand the outcomes of more complicated ones. They should also be able to focus on the path from problems to data analytic solutions and to communicate the results of data analysis.

    The module will be focused on the Agri-Food and Packaging clusters that are important economic engines for the Emilia-Romagna region.