Big Data

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Big Data

Initiative Description

The course aims to illustrate to companies potential of Big Data in order to find answers that reduce costs, reduce unproductive times, develop new business and innovate the offer.

Details

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

PARSEC HUB

Technology

  • Data analytics
  • Cloud Technologies

Technique

  • Lecture
  • Presentation
  • Practical exercices

Channel

  • Face to face

Technology Absortion Cycle

  • Awareness
  • Configuration
  • Implementation
  • Operation
  • Updates

Target Group

  • Directors
  • Plant Manager
  • Engineers

Instruction Level

  • Fundation
  • Intermediate

Sector

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

Education Level

  • High School
  • Ocupational Studies
  • Bachelor

Capacity

  • 5 to 10

Project

  • Digital training for companies

Languages this training can be provided

  • Italian