Cyber Security

Initiative Description

The course is designed to raise companies awareness of the risks to online security and will help them understand what measures can be taken to prevent a cyber attack. The course helps learners to develop an awareness of common cyber risks, including phishing, malware and identity theft, and provides practical tips that can be applied in the workplace to prevent unauthorised access to confidential information.

Training Objectives

The aim of the course is to provide participants with the knowledge of the fundamentals of Big Data and Big Data Analytics, of currently best-in-class technologies for the implementation of a project related to them.

Training Contents

Big Data Paradigm, Data Mining, Linear regression and logistic regression, Cluster analysis and Decision Tree, Time series, Machine Learning and Social Network Analysis, Predictive Analytics vs. Prescriptive Analytics, Use of predictive analytics.

Digital Innovation Hubs


Technology

  • Others

Technique

  • Lecture
  • Practical exercices
  • Practical session in lab

Channel

  • Face to face

Technology Absortion Cycle

  • Awareness of technology
  • Configuration
  • Implementation
  • Operation
  • Updates on configuration and operation

Target Group

  • Engineers
  • Operators

Instruction Level

  • Intermediate

Sector

  • Automotive
  • Aerospace
  • Agriculture
  • Chemical
  • Computer - Software
  • Construction
  • Education
  • Energy

Education Level

  • High School

Capacity

  • 10 to 20

Details

Website

bertin.f@parsec-hub.eu

Date:

Durations: 1-3 days

Price:


Project

PARSEC HUB

Countries where training is provided

EU

Cities where training is provided

Languages this training can be provided

Italian

Imagen


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