Introduction to Urban Mobility data analysis
COURSE DESCRIPTION
This initial course teaches people how to use data centric approach to take decisions in the Urban Mobility field. Will teach non experts on data management people how the basics for Data analysis works, how machine learning and other artificial intelligence techniques works and how to use them in the field of Urban Mobility. We will learn how to use them, giving basic Python concepts, and we will guide them how to use them in a cloud based environment using the EDVL for their task. They will be able to get some results by themselves from a significant data set (fully guided). This will allow any people with minor interest been able to get into their day to day work using this Data center approaches. The key will be the environment (EDVL) that will help them to get everything working in a very simple and easy way.
WHY YOU SHOULD ATTEND
Learn how to use data for Urban mobility decisions and planning.
Learn how to use the Machine Learning algorithms (no previous knowledge required)
Learn how to use python and its libraries in a easy way to get results and visualizations.
Use a cloud based environment (EDVL) to get your results in an easy way.
WHAT THE COURSE COVERS
Urban mobility Data center approach.
Concepts for understanding Machine learning and other AI concepts
Basic programing capabilities in python to use data in your day to day decisions
Been able to use a simple environment to get everything working in the cloud (EDVL)
Been able to go throw a real case and see how everything works
COURSE AGENDA
November 24: Day 1
(afternoon, 5pm to 8pm CET)
Introduction to Urban Mobility and analysis for their data
Introduction to data analysis using Machine Learning and AI
Introduction to Python3, ML libraries and visualization of data
November 25: Day 2
(afternoon, 5pm to 8pm CET)
Introduction to cloud computing and how to deploy data based applications and services.
Introduction to EDVL
Hands on a real case : using data for Urban Mobility planning and decision
FACULTY MEMBERS
Joaquin Salvachua
Universidad Politécnica de Madrid
Andres Muñoz
Universidad Politécnica de Madrid
Gabriel Huecas
Universidad Politécnica de Madrid
Carlos Aparicio
Universidad Politécnica de Madrid
Sonsoles Lopez
Universidad Politécnica de Madrid
Juan Quemada
Universidad Politécnica de Madrid
📅 Dates
November 24, 2021
November 25, 2021
Duration
8 hours in 2 days
Location
Synchronous online
€ Course fee
1.200€ FREE thanks to EIT Urban Mobility financing
🇬🇧 Language
English
📜 Certificate
A digital certificate of participation will be delivered upon completion of the programme
📍Registration
👩💼 Contact
Joaquín Salvachúa (joaquin.salvachua@upm.es)
With ADA you can use your data for a better organization of your city
Juan Quemada (UPM Professor)
Turning data into decisions in an easy way
Joaquín Salvachúa (UPM Professor)
Discover how to get big insights from your big data.
This course will provide you with the theoretical and practical knowledge to make your organisation's data profitable.
Fabián García Pastor (Enlanza Senior Advisor for Innovation and Digital Transformation | UPM Professor)
PAST EDITIONS
📅 Dates
October 6, 2021
October 7, 2021
Duration
9 hours in 2 days
Location
Synchronous online
€ Course fee
1.200€ FREE thanks to EIT Urban Mobility financing
🇬🇧 Language
Spanish (Esta primera edición del curso se desarrollará en español)
Day 1
Introduction to Urban Mobility and analysis for their data
Introduction to data analysis using Machine Learning and AI
Introduction to Python3, ML libraries and visualization of data
Day 2
Introduction to cloud computing and how to deploy data based applications and services.
Introduction to EDVL
Hands on a real case : using data for Urban Mobility planning and decision
