[ONLINE] PATC: Introduction to Big Data Analytics
Objectives
The course brings together key information technologies used in manipulating, storing, and analysing data including:
- the basic tools for statistical analysis,
- techniques for parallel processing,
- tools for access to unstructured data,
- storage solutions.
Requirements
Learning Outcomes
Students will be introduced to systems that can accept, store, and analyse large volumes of unstructured data. The learned skills can be used in data intensive application areas.
Academic Staff
Course Convener: Maria-Ribera Sancho
Course Lecturers: Josep Lluis Berral (BSC), Jordi Torres (BSC) , Oscar Romero (UPC), David Carrera (BSC), Alberto Abello (UPC) and Petar Jovanovic (UPC).
Materials
The relevant materials will be made available to the participats during the course.
INTELLECTUAL PROPERTY RIGHTS NOTICE:
• The User may only download, make and retain a copy of the materials for his/her use for non‐commercial and research purposes.
• The User may not commercially use the material, unless has been granted prior written consent by the Licensor to
do so; and cannot remove, obscure or modify copyright notices, text acknowledging or other means of identification or disclaimers as they appear.
• For further details, please contact BSC‐CNS patc [at] bsc [dot] es
Further information
CONTACT US for further details about MSc, PhD, Post Doc studies, exchanges and collaboration in education and training with BSC.
For further details about Postgraduate Studies in UPC - Barcelona School of Informatics (FiB), visit the website.
Sponsors: BSC and PRACE 5IP project are funding the PATC @ BSC training events.
If you want to learn more about PRACE Project, visit the website.