Date & Time



Weeks 1 to 4 - Income Centre, Bras Basah

Maximum Qualifying Hours


Are you ready to take your data science skills to the next level? If yes, then don’t miss this opportunity to join a hands-on data science course that the Singapore Actuarial Society is organizing.

This course is designed to help you learn and apply data science techniques to real-world actuarial problems. You will get access to self-learning tutorials, weekly clinics with expert instructors, and a capstone project where you will present your findings and solutions.

The course is tailored for participants who have the following levels of data science proficiency:

  1. Basic Python coding skillset. Some suggestion of the many learning resources available: (a), or (b)
  2. Basic understanding of machine learning concept. Learning resources that participants can consider:

Upon successful completion of training and the final project, participants will receive a certificate from the Singapore Actuarial Society.

Maximum number of participants: 15 persons


1) For who is this training suitable?  
For beginners who have some basic knowledge of Python and machine learning. The course content covers basics of machine learning and other aspects of AI and points participants to resources to deepen their knowledge and understanding.

2) How different is this training from others (e.g. open source courses)?
Participants are expected to put their knowledge into practice to solve insurance problems (provided in use cases) and present their solutions.

EARLY BIRD RATES (Valid till 15 May 2023)

  • Member: $200
  • Non-Member: $250

STANDARD RATES (Valid from 16 May 2023)

  • Member: $250
  • Non-Member: $300

Registration Form

Basic Information

Membership Class



  • I agree to hereby release, waive, discharge and agree not to sue the Singapore Actuarial Society (SAS) and its officers, directors, members, volunteers and employees, for any and all claims or demands, obligations and/or causes of action of any nature whatsoever which I may have against the SAS and its officers, directors, members, volunteers, and employees, on account of any personal illness or injury, property damage, death or accident of any kind, arising out of or in any way connected with my participation in this event. 
  • I consent to my registration for and attendance of this event being made known to other parties, with information on the name of my employer or firm (if any) and on my country of residence.
  • I consent to receiving information and publicity related to this event from the SAS or any other organisation with which the SAS engages in the organisation and conduct of this event.
  • I consent for my photograph and/or video recording to be taken by the SAS and/or vendors engaged by SAS to record the proceedings of this event which may be made public in SAS publications, on the SAS website, on social media or in publications of organisations which the SAS engages to report on this event.
  • I agree that I will not be deemed to have registered for this event until I have made full payment of the registration fee required prior to the commencement of this event.