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

    Duration

    2 days

    TIME

    9:00 AM – 5:00 PM

    VENUE

    Asian Banking School
    16
    AICB
    CPD HOURS
    This programme is a foundation level course for picking up the R programming language and learning about language syntax and data structure. Participants will also get to learn how to create R programmes to automate data management for their daily tasks.
    LEARNING LEVEL
    Foundation
    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:

    • Understand the R programming language syntax and data structure 
    • Understand the R programme structure and programme execution flow
    • Able to write simple programmes to automate manual tasks to extract data and provide data summaries from Excel spreadsheets

    PROGRAMME OUTLINE
    Introduction to R Programming
    • Introduction to R programming, overview and history
    • R programming libraries installation and repository

    R Programming, Syntax and Data Structure
    • Understanding the syntax of R language
    • Programme execution flow and language execution structure
    • Types of data structure in R, to store data for processing

    Introduction to Rstudio and the User Guide
    • How R programmes are created under the help of visual editor, Rstudio
    • Different views in Rstudio
    • Debugging programmes in Rstudio
    • Workshop to write a basic programme

  • Methodology

    Slides presentation, interactive discussions, programming workshops (own computer) and demonstrations

  • Participant Profile
    Associate data analysts and executives who seek to automate manual data processing
  • 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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