Introduction to Big Data

This course introduces basic concepts of Big Data and looks at potential and already realized applications of Big Data for various purposes. The course will focus on applications in official statistics and discusses advantages, principles and rules, as well as challenges of using Big Data.

Topics

SDG
SDG17: Partnerships for the goals
SDG 17: Technology
SDG 17: Capacity-building
Subject
Big Data
Statistics
Methodology and statistical processes
Big data and geospatial information
Keywords
big data
technology
data sources
applications

This course is the first of a series that introduces basic concepts of Big Data and looks at potential and already realized applications of Big Data for various purposes. The courses will focus on applications in official statistics and discuss advantages, principles and rules, as well as challenges of using Big Data in this specialized domain.

It is recommended to use this course as a starting point for further learning of Big Data subjects.

Target Audience

  • Members of national statistical offices and other institutions that plan to use or are already using Big Data
  • Senior statisticians of national statistical offices that consider using Big Data
  • Anyone interested in learning about Big Data

Learning Objectives

At the end of this first course, participants will be able to:

  • Explain the evolving notion of Big Data
  • Recognize the types of Big Data that are being applied within NSOs, plus others that are available
  • Identify some of the opportunities and challenges posed when applying big data to the production of statistical outputs

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