Enabling Innovation with Data Science: Apply now!

Data science is regarded as an enabler for data-driven decision making in industrial and – increasingly – public sector/non-profit organizations. Nevertheless, the ability to harness its potential for informed decision-making, and consequently, its significant impact on business, remains elusive to most organizations, owing to:

1. A lack of professional expertise (i.e. senior data scientists and technically-aware decision makers) in this relatively new field;
2. An often incorrect positioning of the "AI" topic with executives, resulting in mismatched expectations, missed opportunities and a "bad reputation" risk.

This 5-day course is intended for experienced professionals and executives wishing to steer data science initiatives and generate business impact.

It focuses on achieving impact and innovation with data science, featuring:

• Theoretical lectures on selected applications of data science (for example natural language processing and computer vision) and related topics (such as explainability and model deployment);
• Practical lectures on leveraging data science within a business context (project management, impact evaluation, performance metrics, stakeholder management);
• Hands-on sessions with no-code user-friendly platforms and canvassing tools for effectively scoping new use cases;
• Presentations of successful use cases delivered by SDSC and their partner organizations across Switzerland.

This course will teach you how to

• Objectively assess complexity and scalability of AI use cases
• Manage AI projects from scoping to MVP solution and deployment
• Connect and share with other industry professionals

Ultimately, successful attendees will have the ability to identify arguments to negotiate executive buy-in for data science initiatives focused on rapidly and convincingly delivering business impact.

Target audience

Experienced professionals and executives wishing to steer data science initiatives and generate business impact.

Prerequisites

• Prior experience working with data in an applied context (eg reporting/visualization/statistics using tabular data).
• Participants are required to bring their own laptop for use during hands-on practical exercises.
• The course will be given in English.

Organization

Swiss Data Science Center (SDSC), an ETH domain initiative joining Ecole Polytechnique Fédérale de Lausanne (EPFL), Eidgenössische Technische Hochschule Zürich (ETH Zürich) and Paul Scherrer Institut (PSI).