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R Programming – Intermediate
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    PROGRAMME DETAILS

    Duration

    2 days

    TIME

    9:00 AM – 5:00 PM

    VENUE

    Asian Banking School
    This programme is an intermediate level course to enable participants to further enhance their R programming skills, process multiple type of documents and data sources and produce analysis in common document formats. They will also be able to perform basic charting and calculations using common R data analysis modules.
    LEARNING LEVEL
    Intermediate
    PROGRAMME FEE

    AICB MEMBER

    MYR

    2,200*

    / PAX

    NON-MEMBER

    MYR

    2,600*

    / PAX

    *Subject to 6% Service Tax

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

    • Use different R modules to slice and merge data
    • Do document generation to Word, HTML and PDF
    • Do charting with R, colour coding and the different charting types

    PROGRAMME OUTLINE
    Introduction to Data Engineering with R
    • Cleaning and tidying data from multiple data sources
    • Different types of data sources supported in R, and how to use them

    Data Engineering with R
    • Transforming and merging data
    • What is functional programming (FP) and how to establish FP in R
    • Data summary and mathematical computation functions
    • Workshop in data processing

    Charting and Producing Formatted Output in Rstudio
    • Document markdown and using it to generate formatted documents
    • Producing different types of charts for effective data presentation
    • Workshop in Rstudio for markdown and charting

  • Methodology

    Slides presentation, interactive discussions, programming workshop (own computer) and experience sharing

  • Participant Profile
    Data analysts, associate data analysts and business analysts / market researchers. Participants should already have foundation level knowledge in R Programming.
  • Trainer

    Xavier Leong Foo Hoong

    Xavier is a data scientist providing data intelligent solutions in areas covering data pattern analysis and machine learning modelling for business insights and process automation deployed in carrier service providers and enterprises to manage daily business operations. Prior to this, he was a software architect providing IT solutions for the business operations and business intelligence sectors particularly in data mediation, business support and operations support systems.

    Having spent over 18 years in the software industry, Xavier’s experience includes business operations optimisation, IT software solutions for the digital economy and business automation via data driven intelligence software. He has extensive exposure in big data technology, manufacturing, machine learning and artificial intelligence in business process optimisation. He also has vast experience in software design and development through his career at a multinational company providing solutions to customers world-wide, together with a recent five years spent in providing software solutions covering big data distributed computing for data analytics and modelling.
    Xavier has a Master of Science degree in Mathematics and Statistics (with Distinction) from the University of Malaya, a Bachelor of Engineering degree (with Honours) from the University of Science Malaysia and is also a Certified IT Architect (Associates Level) (CITA-A) from the International Association of Software Architects (IASA). He is one of the pioneer graduates of the Malaysian MDEC Data Scientist Certification programme.

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

1

Please download the Payment Form for our Banking details and if making company sponsored payments

2

Upload your Payment Form/Receipt and submit with your online registration

3

You will receive a confirmation email upon successful registration
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