Enabling innovation with data science

This description is only available in English.

  • 12.09–31.10.2025

    Course date

  • 5 days

    Course duration

  • Zurich

    Course location

  • English

    Course language
  • 05.09.2025

    Registration deadline

  • CHF 4000

    Course fee

Course description

This course focuses on achieving impact and innovation with data science. It features theoretical lectures on selected applications of data science, practical lectures on leveraging data science within a business context, and a selection of exemplary use cases from the private and public sector.

Date and venue

Course date

12.09–31.10.2025, 5 days

Course location

SDSC, Andreasturm, Andreasstrasse 5, 8092 Zurich (Room 15, 14th floor (floor S),
Zoom for participants joining remotely

Fees

Course fee

CHF 4000
CHF 3600 for ETH Zurich employees
CHF 3600 for ETH Zurich alumnae and alumni
CHF 3600 for employees from SDSC partners

Registration

Registration deadline

05.09.2025

Organiser

Course management

Dr Anna Fournier, Principal Data Scientist, SDSC – ETH Zurich

Lecturers:

  • Professor Olivier Verscheure, Executive Director, Swiss Data Science Center (SDSC) - EPFL & ETH Zurich
  • Dr Silvia Quarteroni, Head of the Innovation Unit, SDSC - EPFL & ETH Zurich
  • Dr Anna Fournier, Principal Data Scientist, SDSC - ETH
  • Dr Matthias Galipaud, Sr Data Scientist, SDSC – ETH Zurich
  • Dr Dan Assouline, Sr Data Scientist, SDSC - ETH Zurich
  • Dr Saurabh Bhargava, Principal Data Scientist, SDSC – ETH Zurich
  • Lucas Chizzali, Sr Data Scientist, SDSC – ETH Zurich
  • Christian Schneebeli, Sr Data Scientist, SDSC – ETH Zurich
  • Arshjot Khehra, Data Scientist, SDSC – ETH Zurich
  • Thibaut Loiseau, Machine Learning Engineer, SDSC - EPFL
  • Dr Alessandro Nesti, Principal Data Scientist, SDSC - EPFL
  • Dr Valerio Rossetti, Principal Data Scientist, SDSC – EPFL
  • Dr Roberto Castello, Principal Data Scientist, SDSC – EPFL

The course designed by the SDSC with the support of EPFL Extension School and delivered at EPFL and ETH Zurich.

Contact

Dr Anna Fournier
ETH Zurich

Wasserwerkstrasse 10/12
WWA E 13
8092 Zurich

Responsible body

Swiss Data Science Center – a joint venture of ETH Zurich and EPFL

Good to know

Target group

This course addresses experienced professionals up to executive levels. Participants should have prior experience working with data in an applied context (e.g. reporting, visualisation, summary statistics). No programming skills nor technical knowledge on data science specifically are required.

Course language(s)

English

Additional information

 

Day 1: Intro to data science and digital transformation

  • History, terminology, basic concepts, project management
  • Data science in a business context
  • Hands-on session with no-code platform

Day 2 : Fundamentals of machine learning

  • Supervised learning with hands-on
  • Best practices for industrialisation of solutions and reusability of digital assets
  • Use cases

Day 3 : Fundamentals of machine learning

  • Unsupervised learning and time series, with hands-on
  • Legal and ethical aspects of AI
  • Bias mitigation, explainability
  • Canvassing exercise

Day 4 : Fundamentals of machine learning

  • Natural language processing and computer vision 
  • Measure impact with AB testing
  • Prompt engineering workshop

Day 5 AM: Practical applications of AI 

  • Generative AI, with hands-on
  • Use cases 
  • Canvas presentations and discussion
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