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Introduction to Big data 3 webinars

Introduction to Big data in official statistics – 3 webinars

Course Leader

Carlo VACCARI

Target Group

Official statisticians (including managers) to be involved in big data activities and having no specific knowledge on this subject; Official statisticians (including managers) who, without being directly involved in big data activities, need basic knowledge on the use of big data in official statistics.

Entry Qualifications

  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions.

Objective(s)

Main objectives of the course are:

▪ Introducing the participants to the concept of Big Data, the associated challenges and opportunities, and the statistical methods and IT tools needed to make the use of Big Data effective in official statistics.

▪ Overviewing statistical methods and IT tools available for Big Data usage in Official Statistics.

Contents

Webinar 1: The big data phenomenon and the role of official statistics

  • Big data and the digital traces people leave
  • The implication of big data for official statistics
  • Big Data initiatives in official statistics at international level
  • Trust Smart Statistics

Webinar 2: Methodological challenges of big data for official statistics

  • The curse of dimensionality
  • From captured big data to statistical units (unit-error)
  • Selectivity and overview of methods to correct it
  • Over-fitting, multiple inference, and model based inference

Webinar 3: Applications of big data to official statistics

  • Online job Advertisment (OJA) data
  • Automatic identification system (AIS) data
  • Mobile network (MNO) data
  • Webscraping enterprises websites data
  • The EU big data test infrastructure (BDTI)

Expected Outcome

To have a good understanding of Big Data technologies and methods to process Big Data for Official Statistics purposes.

Training Methods

  • Presentations and lectures
  • Exchange of views/experiences on national practices, if any
  • Exercises
 

Required Reading

None

Suggested Reading

ISTAT Big Data Commitee  Annual Report 2017 (2018): https://www.istat.it/it/files//2018/09/Big-data-committee.pdf

Required Preparation

None

Trainer(s)/
Lecturer(s)

Carlo VACCARI (ISTAT)

Monica SCANNAPIECO (ISTAT)

Diego ZARDETTO (ISTAT)

Donat SUMMA (ISTAT)

Piet DAAS (CBS Netherlands)

Marco PUTS (CBS Netherlands)

Practical Information

When

Duration

Where

Organiser

Application  via National Contact Point

16.02.2021

16.03.2021

13.04.2021

2 hours

WEBINAR

ICON-INSTITUT Public Sector GmbH

Deadline: 19.01.2021

Deadline: 16.02.2021

Deadline: 16.03.2021