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Big Data

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Duration:
2 days

Study Mode:
Online / Blended  Weekend intensive delivery

Price:
TBC

ICDL ASIA

ICDL Foundation is an international organisation dedicated to raising digital competence standards in the workforce, education and society. Our certification programs, delivered through an active network in more than 100 countries, enable individuals and organisations to assess, build and certify their competence in the use of computers and digital tools to the globally-recognised ICDL standard.

As a non-profit social enterprise, ICDL Foundation benefits from the unique support of experts from national computer societies and partners worldwide to develop vendor-independent standards that define the skills and knowledge required to use digital technology effectively. We work with education and training partners, local and regional authorities, national governments, international development organisations as well as public and private sector employers in all sectors, in the delivery of our programs.

The quality and reputation of ICDL is built on over twenty years of experience in delivering our certification programs to over 16 million people and in more than 40 languages worldwide, with more than 2.5 million ICDL tests taken annually. Our success is maintained by our ongoing innovation in certification program development, our commitment to rigorous test design methodologies, and consistent adherence to our quality assurance standards.

ICDL Foundation supports the initiatives of National Operators of the program in Europe and the Arab States from our headquarters in Dublin, Ireland and our ICDL Europe office in Brussels, Belgium. We have also established three regional operations – ICDL Africa (based in Rwanda), ICDL Asia (based in Singapore) and ICDL Americas (based in Panama). All ICDL Foundation operations work closely with regional, national and local partners to develop the global network of ICDL Accredited Test Centres.

Big Data

This module introduces Big Data, a term which relates to the management and analysis of sets of data that are typically too large for traditional data-processing software.

Most businesses and organizations deal with large volumes of data on a day to day basis. It is what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

This module is suitable for a wide range of candidates; for example, non-technical professionals who wish to build and demonstrate an understanding of Big Data, facilitating engagement with their technical colleagues or their suppliers, or students who wish to add general technical knowledge to sector-specific or general studies.

Module Overview

CategoryContent
What is big data?
  • Definition of big data
  • Key stages in the evolution of big data
  • Key characteristics of big data, like: volume, velocity, variety, variability, veracity, value
  • Trends driving the expansion of data, like: online, consumer and organisational activity, IoT
  • Potential of big data for organisations
The big data environment
  • Common big data storage techniques and approaches to big data analysis
  • Common approaches to big data visualisation
Big data in practice
  • Approaches to implementing big data in a variety of sectors
Big data adoption
  • Investment in resources and competences
  • Challenges such as data quality and consistency, system compatibility
  • Potential of providing big data as a service, selling analysis
  • Ethical considerations such as governance, data protection
  • Steps for exploiting big data in a given scenario

Learning outcomes

The Big Data module consists of e-learning followed by a brief certification test. Together, these components deliver a short, focused professional development solution. On completion, candidates will be able to:

  • understand the term big data and its evolution, and recognise drivers behind its expansion
  • recognise key aspects of big data relating to storage technologies, analysis, and visualisation
  • recognise examples of big data implementation in a range of sectors
  • identify considerations for adoption of big data, including investment, practical challenges, business potential, and ethical issues
  • recognise steps for exploiting big data in a specific scenario or situation
Thank you for your interest in
ICDL Big Data

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