Description de la formation

In most disciplines, the amount of available data is growing rapidly. Handling and processing the data remains a challenge and the demand for data science expertise is increasing dramatically across all domains. This CAS offers internal and external students, researchers, and employees the opportunity to complement their domain-specific core competences with a formal deepening and broadening of their applied data science knowledge and skills. The format is designed to align with the participants’ main study and professional activities.
Modules:

• Data Acquisition and Management
• Statistical Inference for Data Science
• Data Analysis and Machine Learning
• Ethics and Best Practices
• Consolidations and Electives
• Deep Learning

Scope: 16 ECTS

Objectives

At the end graduates will be:

• familiar with different data sources and data types, and able to develop data management plans.
• able to describe, extract and present scientific knowledge from data using statistical methods.
• able to process data with machine learning tools and methods.
• familiar with best practices for data management, analytics, and science.
• able to analyse and communicate data science challenges and use a wide range of data science tools and methods.