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Foundation in Big Data Analytics
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    PROGRAMME DETAILS

    Duration

    1 day

    TIME

    9:00 AM – 5:00 PM

    VENUE

    Asian Banking School
    An introduction to big data analytics (BDA) covering the 3V characteristics of big data (volume, velocity and variety), regional success stories, high-impact banking use cases and the advanced analytics / AI landscape. This workshop also deals with the BDA ecosystem together and how various data science roles play a part in it.
    LEARNING LEVEL
    Foundation
    PROGRAMME FEE

    AICB MEMBER

    MYR

    1,200*

    / PAX

    NON-MEMBER

    MYR

    1,500*

    / PAX

    *Subject to 6% Service Tax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of this programme, participants will be able to:

    • Understand the big data analytics landscape, its terminology and core concepts
    • Appreciate how big data analytics would be useful in their job functions or business
    • Appreciate the key banking business cases that have successfully exploited big data analytics and are benefiting from its implementation

    PROGRAMME OUTLINE
    • Overview of Big Data Analytics (BDA)
    • BDA success stories in Malaysia and around the region
    • The analytics landscape (descriptive, diagnostic, predictive and prescriptive)
    • The BDA ecosystem (from ingestion to analytics to organisational transformation)
    • Big data and cloud technologies
    • High-impact banking use cases exploiting big data and advanced analytics / AI
    • Introduction to Artificial Intelligence (AI)
    • Data science professionals and key competency areas

  • Methodology

    Interactive group discussions, lectures, exercises, case studies and sharing of real-world experiences

  • Participant Profile
    New entrants in banking and/or from a non-IT background who wish to gain a broad-level appreciation of big data and analytics
  • Trainer

    PETER KUA

    Peter Kua is currently Head of Data Science and Analytics at Media Prima Digital. His responsibilities include finding ways data can be used as a competitive advantage as well as identifying new business opportunities with data. Peter was also instrumental in driving the National Big Data Analytics (BDA) Initiative under the Malaysia Digital Economy Corporation (MDEC) in the areas of thought leadership and industry development. He played a key role in developing the first National BDA Framework that delivered strategic recommendations / action plans to achieve the National BDA vision.
    Peter has extensive tech-related experience in various roles: Big Data / Data Science Strategy, Technopreneur, CTO, Project Manager and Software Developer. Startup leadership and management style. Excellent communication skills. Solid network of contacts in the private sector, government and universities/colleges.

REGISTER NOW
Please complete the following form to register with us. Alternatively, you can email us here or call us at +603 2742 7822 or +603 2742 7821 if you have any questions.
PAYMENT PROCESS

1

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2

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3

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