ENID | Enabling Innovation with Data Science at ETH Zurich

Harness data to improve decisions and processes within your organisation

Overview

In today’s world, data is everywhere, yet the ability to harness its potential for informed decision-making, and consequently, its significant impact on business, remains elusive to most organisations. But how should an organisation start to become data-driven? What are the best practices for implementing data science models that benefit the entire organisation? And how to negotiate executive buy-in for data science initiatives?

This 5-day course focuses on achieving impact and innovation with data science. It features theoretical lectures on selected applications of data science, e.g. natural language processing and computer vision, and practical lectures on leveraging data science within a business context, such as project management, impact evaluation, performance metrics, stakeholder management.

The course “Enabling Innovation with Data Science” is designed by the SDSC with the support of EPFL Extension School and delivered at EPFL and ETH Zurich (ETHZ).

Target Audience

Experienced professionals and executives wishing to steer data science initiatives and generate business impact. The course will be given in English.

Objectives

• Understand the foundational principles and techniques of data science within the broader context of artificial intelligence (AI) and machine learning, including deep learning applications
• Be able to objectively assess complexity and scalability of AI use cases
• Acquire the tools to manage AI projects from scoping to Minimum Viable Product (MVP) solution deployment
• Explore real-world applications through hands-on machine learning assignments and discover concrete data science applications
• Connect and share with other industry professionals

Certification

A certificate of attendance will be delivered at the end of the course.

Organisation

The Swiss Data Science Center (SDSC) is a strategic focus area of the ETH domain, with data professionals located at Ecole Polytechnique Fédérale de Lausanne (EPFL), the Eidgenössische Technische Hochschule Zürich (ETH) and Paul Scherrer Institut (PSI).

For any other course-related questions, please contact Dr. Anna Fournier at anna.fournier@sdsc.ethz.ch