Applied Data Analytics

Résumé de la formation

Learning Outcomes

This course provides essential techniques, methodologies, and practical skills needed to extract meaningful insights from data. Throughout this course, you will learn basics skills in Machine Learning and Data Preparation.
It is designed for a diverse range of doctoral students from various faculties at the UPCité. Key topics covered in the course include:

• Data Science
• Data Analytics
• Machine Learning
• Deep Learning
• Data Mining

Format of lectures

The course will take place over a dedicated week in the fall, running from Monday to Friday in the mornings, from 10:00 AM to 13:00 PM, totalling approximately 15 hours. Instruction will be delivered through a combination of slides, Google Colab exercises, and questionnaires. On the final day, students will have the opportunity to present the analysis challenges related to their theses.
The course will be conducted via Zoom.

Programme

Program overview

• The detailed program and syllabus can be access HERE

Formateurs et formatrices

Educational contact: Yvonne Becherini

Informations pratiques

Practical Information

Dates : Starting on the 14th of December until the 18th December 2026
From 10 a.m to 1p.m

-→ This training takes place online via Zoom. The link will be send to you directly by the trainer.

Rules of Attendance

-→ This course takes 15 hours.

-→ Attendance is mandatory for at least 4 days of training.

You will get credited :

• Attendance for 5 days: 15 hours of training
• Attendance for 4 days: 12 hours of training
• Attendance under 4 days: no hours of training will be credited