BSC Training Courses are free of charge.
Course Convener: Maria-Ribera Sancho, E&T Manager, BSC
Course Lecturers: Josep Lluis Berral (BSC), Patricio Reyes (BSC), Guillermo Marin, Data Analytics and Visualisation (BSC), Carlos García Calatrava, Davide Cirillo, Recognised Researcher in Machine Learning for Biomedical Research, LS, (BSC).
Objectives: The course brings together key information technologies used in manipulating, storing, and analysing data including:
- Introduction to storage and process unstructured data. Main concepts of NoSQL databases
- Large scale processing: Apache Spark and its core libraries for data manipulation, machine learning, data streams and graph analytics
- Basics of Python deep learning technics with TensorFlow
- Characterization of a data mining problem and its relation with business intelligence, dig data and exploratory statistics
- Basic concepts of data visualization and tools
- Awareness on existing biases in Big Data Analytics and Artificial Intelligence (AI) from a multidisciplinary perspective
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.
Level: For trainees with some theoretical and practical knowledge
