SMU-Alibaba Series: Big Data Analytics & its Applications in Smart Business

Programme Code: CRS-N-0048852


Regardless of what size of business you are running, you need valuable data and insights to help you understand who your target audience is and what their preferences are, so you can anticipate their needs.

In today's world, properly leveraged data can give your business a competitive advantage. Companies now handle vast amounts of data on a daily basis and there is unparalleled demand for professionals in this space. Learn how to extract useful information from data and increase the ROI of a business by taking up this course.

This module is part of SMU-Alibaba Series.

    Next Course Starts On11 Jun 2019 (Tue) See Full Schedule
    Fee SGD2140.00* (as low as SGD242.00* after maximum funding) Learn more

    2 days



    Learning Objectives

    At the end of the 2-day course, participants will be able to:

    • Gain an overview of business applications of big data and analytics techniques
    • Gain real-world insights into various applications of big data analytics and how it can be used to fuel better decision-making within an organisation/ business
    • Learn how big data and analytics techniques can create business value
    • Understand how to manage big data and analytics projects and teams

    Who Should Attend

    Business owners or working professionals looking to deploy big data solutions in their businesses.


    Course assessment will be based on classroom exercises and presentation. 

    Fees and Funding

    SkillsFuture Series

    Course fee grant at 70% of course fees (excluding GST) for participants who are successfully enrolled by SMU into approved courses under the Programme. Participants must be Singapore Citizens or Singapore Permanent Residents.

    SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
    Up to 90% of course fees for Singapore Citizens aged 40 years and above

    Enhanced Training Support for SMEs ("ETSS")
    Up to 90% of course fees for employees of SMEs who are Singapore Citizens or Permanent Residents

    Workfare Training Support Scheme ("WTS")
    Up to 95% of course fees for Singapore Citizens aged 35 years and above (13 years and above for persons with disabilities) earning a monthly income of not more than S$2,000.

    SkillsFuture Credit
    Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click User Guide on how to submit your claim. SkillsFuture Credit claims may be submitted by logging in via

    Absentee Payroll
    Companies who sponsor their employees for the course may apply for Absentee Payroll via the SkillsConnect system. For more information, please visit SkillsConnect.

    Full Fee: S$2,140 per participant (including GST).
    Nett fees payable per participant after SSG Funding:

    • S$642 (including GST) for Singapore Citizens and Singapore Permanent Residents
    • S$242 (including GST) for Singapore Citizens aged 40 years and above


    Start Date(s)
    Intake Information
    intake 119 - 20 March 2019 (Completed)
    INTAKE 211 - 12 June 2019 (Open for Registration)


    Speaker/Trainer Bio

    Yang Kan is currently Regional Manager of Data Intelligence Business at Alibaba Cloud, leading Alibaba Cloud’s regional big data and AI business strategy and solutions. His team is dedicated to craft solutions under ET Brain framework to various industries including smart city, new retail and smart manufacturing.

    Prior to joining Alibaba, Yang Kan spent 10 years in managing enterprises’ global big data strategies and programmes. He was responsible for transforming many traditional businesses into data-driven organisations in oil & gas, and manufacturing industries. He has successfully implemented multiple end-to-end data projects and rollout the solutions to global organisations.

    Dr Long Yin joined Alibaba Group in 2018 where she started to embrace Alibaba Cloud platform and to apply big data and AI solutions on this platform for industry digital transformation. Her specialisation is in machine learning, mathematical optimisation and cloud computing.

    Before joining the Alibaba Group, Dr Long had served as a senior data scientist at IBM and was recognised for her contributions towards the digital transformation journey of organisations in the finance, supply chain and maritime industry. She received her PhD in Operations Research from National University of Singapore and holds a number of patents and publications.


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