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Predictive Analytics for Managers
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    Programme Details
    Date
    12 – 13 December 2023
    Time
    9:00 AM – 5:00 PM
    Venue
    Asian Banking School
    HRDC PROG NO
    10001305474
    This two-day programme will introduce participants to the concepts, methodology, techniques and applications of predictive analytics using the available tools. There will be guided programming in which participants will learn to perform data analysis and decisions based on the results. This programme focusses on applications of predictive analysis for managers in different functions / departments of commercial banks.
    Learning Level
    Intermediate
    Programme Fees*

    AICB MEMBER

    MYR

    2,600

    / PAX

    NON-MEMBER

    MYR

    2,900

    / PAX

    *Subject to 6% Service Tax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Understand data collection and preparation before doing any analysis
    • Understand the methodology and tools required to conduct predictive analysis
    • Explain the output of analysis conducted and present them using visual tools
    PROGRAMME OUTLINE

    Introduction

    • What is predictive analytics and what can it do?
    • Why use predictive analytics?


    Data preparation

    • Collecting data from various sources
    • Tidying the collected data for analysis


    Predictive models

    • Supervised machine learning algorithms
    • Unsupervised machine learning algorithms
    • Use cases for both types of algorithms in the domain


    Analysing results

    • Understanding and explaining the outputs
    • Preparing visuals for presentation
  • Methodology
    Lecture including presentations of concepts, hands on working with related tools, case studies will be used for discussions and understanding application of tools. In this programme, case studies relevant to decision making in different functions of commercial banks will be used for understand and application of predictive analysis.
  • Participant Profile

    Managers / senior executives of different functions / departments in commercial banks

  • Trainer

    Dr. Manjeevan Singh Seera

    Dr. Manjeevan Singh Seera is an Associate Professor in Business Analytics and the Deputy Head of School (Research) at the School of Business, Monash University Malaysia. He has a Ph.D. in Computational Intelligence from Universiti Sains Malaysia. He has published over 55 peer-reviewed journal and conference papers. He has over 17 years of experience in both academia and industry. Prior to taking up his current position, he was Data Analytics Manager at Bank Negara Malaysia. He also has extensive experience in the electronic manufacturing industries, including Intel and Flextronics. Dr. Manjeevan's research specialisation is on machine learning principles and applications in finance and engineering. His recent research focus includes the design and development of advanced machine learning models for FinTech applications, particularly the detection and prediction of fraudulent financial transactions.

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