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Information Systems/Technology

Big Data and Data Analytics are key tools for modernising public services, opening up the potential to make them more efficient, transparent, and responsive to the needs of the public.

A basic practical knowledge of Big Data and Data Analytics is crucial for public servants for a few reasons including:

  • More informed decision-making;
  • Efficiency and resource optimization;
  • Greater transparency and accountability;
  • Enhanced service delivery;
  • Effective policy formulation and evaluation;
  • Informing digital transformation initiatives.

Big Data and Data Analytics: A Practical Introduction

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Key Facts

Commences

7-9 October 2024

Key Facts

  • The three-day course will provide an understanding of what Big Data is, how you can use it, and what benefits it will bring to your organisation.
  • It is a practical course and students will be guided through a number of hands-on exercises. This requires you to bring your laptop to the class pre-loaded with easy to access open source applications that will be used during class.
  • This practical introduction to Big Data and Data Analytics is based on the corresponding elective module on the IPA Diploma in Computer Studies (NUI Accredited) .
  • Lunch will be provided on scheduled course dates
  • The IPA is located next to the Lansdowne Road DART Station.  Limited parking is available on a first come first served basis.

Duration

Three Days

Fees & Enrolment

Fee: The cost of this three-day course is €1,250 per person. The cost does not include the exam fee. This three-day course is based on the Big Data and Data Analytics module of the Diploma in Computer Studies.

If you would like a formal assessment and certification of your learning this can be facilitated using a short exam and assignment. There would be a small extra fee for this.

Individuals who are paying for themselves must pay by credit card at the time of booking.

Booking: Bookings must be received in writing using the online booking option (see below).

Note: If you wish to pursue this course as part of the Diploma in Computer Studies please Click Here

All bookings will be confirmed via email.

For any additional information please contact:

Central Bookings Office

Institute of Public Administration

57-61 Lansdowne Road, Dublin D04 TC62

Tel: (01) 240 3666 | Fax: (01) 668 9135

Email: training@ipa.ie

All IPA courses are subject to minimum participant numbers and bookings will typically close one week prior to the course start date. This course will close two weeks prior to the start date. Early booking is recommended to secure a place.

Cancellation Policy: Please note, that in the event of a cancellation less than 48 working hours before the commencement of a course, a 15% cancellation fee will be charged. Cancellation fee will also apply to non-arrivals on the day.

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The Programme

Big Data and Data Analytics are key tools for modernising public services, opening up the potential to make them more efficient, transparent, and responsive to the needs of the public.

A basic practical knowledge of Big Data and Data Analytics is crucial for public servants for a few reasons including:

  • More informed decision-making;
  • Efficiency and resource optimization;
  • Greater transparency and accountability;
  • Enhanced service delivery;
  • Effective policy formulation and evaluation;
  • Informing digital transformation initiatives.
Learning Outcomes

At the end of this course you will:

  • Be comfortable with the use of Big Data concepts, ideas and processes
  • Be familiar with standard tools used in Big Data operations with hands on practical experience
  • Have a working knowledge of data modelling and statistical tools and methods
  • Be aware of the legal, compliance and other implications of Big Data, and Data Protection legislation, including the use of Cloud resources, outsourcing and off-shoring.
Course Content

This practical introduction to Big Data and Data Analytics will cover the following content:

  • Course Introduction
  • Introduction to Big Data
  • Data Analytics Life Cycle
  • Relational Databases
  • Non-relational Databases
  • Basis Data Analytics Methods Using R
  • Introduction to Advanced Statistical Methods
  • Advanced Analytics Specific Technologies
  • Putting it All Together

 

Please select if you are booking as an individual or on behalf of an organisation

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