Ricerca corsi

Data Science for Business

  • Codice
  • DTI 493
  • Presentazione
  • While digital innovation becomes the new mantra, Data Science keeps growing in importance as it is what makes digital innovation possible and real. Yet, such a fast and continuous growth brings confusion about the actual essence of Data Science, making quite hard understanding its principles and the threshold between actual solutions and unpractical applications. This learning track will illustrate the solid principles of Data Science and present real success cases, focusing on the keys of a successful project and the main and worst common errors that must be avoided.
  • Obiettivi
  • Learn: • how to implement Data Science in your company, design and manage projects, • what can be a reliable target and what is out of reach • which are the new trends that are changing the world • how the global market is being transformed by the digital wave. Discover: • how to set up and mange a team of data scientists. Gain: • a clear view of how to become an actor and not just a spectator of the digital innovated market. Get inspired by real examples and real success stories.
  • Destinatari
  • The learning track is mostly dedicated to managers and business people that want to join the digital innovation process and/or improve and lead the process in their business.
  • Requisiti
  • No technical requirement.
  • Certificato
  • Certificate of Attendance
  • Crediti di studio
  • 0 ECTS
  • Programma
  • • What is Data Science and how it relates to digital innovation • The fundamental principles of Data Science • Introduction to statistical, machine and deep learning • The state of the art of artificial intelligence • How to bring Data Science in your company • How to create and manage a Data Science team • Issues and common mistakes • Skills and tools of a data scientist • Examples of success cases • Predictive maintenance and prescriptive analytics • Process and product optimization • The evolution of supply chain • Data Science in the world • How job opportunities are changing • A deeper dive into deep learning • Introduction to quantum computing • What to expect in the future
  • Durata
  • 12 hour-lessons
  • Responsabile/i
  • Sara Vignati, researcher DTI, SUPSI
  • Relatore/i
  • Luigi Roggia (CEO @ Apply Science), Nicolò Nepote (Data Science Manager @ Brembo SpA)
  • Iscrizione ai corsi
  • Within October, 28, 2022
  • Date
  • November 9, 16, 23, 30, 2022
  • Orari
  • 17.30-20.00
  • Luogo
  • online
  • Costo
  • CHF 600.00 Early Bird Registration (by October 14) CHF 500.00 Members AFTI, AITI, ATED, HSE-Ticino, HR Ticino e itSMF.Save 10%
  • Informazioni di contatto
  • sara.vignati@supsi.ch
  • Informazioni
  • SUPSI, DTI, Formazione continua Polo universitario Lugano, Campus Est Via La Santa 1 CH-6962 Lugano-Viganello tel.+41 (0)58 666 66 84, dti.fc@supsi.ch www.supsi.ch/fc
Maggiori informazioni
  • SUPSI, Dipartimento tecnologie innovative
    Polo universitario Lugano - Campus Est, Via la Santa 1
    CH-6962 Lugano – Viganello
    Tel.: +41 (0)58 666 65 11
    E-mail: dti.fc@supsi.ch