About the Course

    Discover the fundamental roles of machine learning and data science in today’s world of finance. Future proof and take advantage of the coming 4th industrial revolution. Explore existing data science and machine learning use cases in the financial services sector.

    This course aims to provide participants with an introduction to machine learning and data science. Examples of how they are applied to the world of finance will also be shared and discussed.

    Tranier Profile:

    Anthony has spent 15 years of his banking and finance career in various financial institutions including Commonwealth Bank of Australia, Deutsche Bank, before switching to education to groom the next generation. Passionate about finance, data science, and Python, Anthony enjoys researching, teaching and sharing on these topics. Anthony frequently conducts talks in data analytics, data science, algorithmic trading, FinTech etc. He is a holder of Masters in Financial Engineering from NUS and MBA from University of Otago.

  • Course Outline

    1. Gain instant insights using Python

    2. Discover how AI and machine learning is impacting the finance industry

    3. Practice with Python codes

  • Target Participants

    Finance Executives & Managers seeking to deepen or broaden their skills in this area.


  • Certification

    Certificate of Completion

  • Admission Requirements

    Basic knowlege in Python/coding is preferred

  • Course schedule (conducting days & time)

    29 November 2019

    9am - 5pm

  • What You'll Study

  • Course Fees and Funding

    Please refer to course website.

  • Contact for course enquiries

    Ms TEO SHALYNN,, Tel No:6550-1094

  • Remarks

    NYP reserves the right to reschedule/cancel any prog and amend the fees/info without prior notice.