Date & Time



Partner Re Office, Level 19, Republic Plaza Tower II 048619

Maximum Qualifying Hours


ALL seats are filled, please email to if you are interested.

If you wish to be placed on the wait list, please login.


Dear SAS members


Following the successful afternoon forum “Introduction to Python” 6 months ago, the Data Analytics committee is pleased to launch an insightful series of courses.


This 1st series of course is limited to only 12 people who are highly motivated to complete the course and every homework that will be assigned each week. More series are expected for those missing this 1st one.



5 sessions from July to August 2018 on Thursday from 6:30- 8:30pm

Courses start at 7pm after computer set up and F&B.

The dates are as follows: 12 July, 19 July, 26 July, 2 August, 16 August

Venue: Partner Re Office, Level 19, Republic Plaza Tower II 048619

F&B provided.


6:30pm  Registration with food and beverage and Computer set up

7:00pm  Course commences

8:30pm  Course ends

9:30pm  Venue closes



Data Scientists are one of the most sought after jobs in the world today and is ranked as the number 1 job on Glassdoor. Although considered the ‘sexiest’ job of the 21st century, the Data Scientist has many similar skill-sets and responsibilities as an Actuary. This course aims to equip the modern-day Actuary with foundational Python programming skills with an emphasis on Data Analytics and Machine Learning. This will enable Actuaries to navigate the fast changing face of the current digital and data landscape:

- Expose SAS members to a Data Analytics using the Python Programming Language.
- Enable SAS members to use Python to perform day-to-day Actuarial functions
- Provide an alternative tool to overcome the limitations of conventional tools like Microsoft Excel.
- Guide SAS members to apply their learnings of machine learning and predictive modelling by participating in a Kaggle competition


- Data science workflow
- Data manipulation
- Visualization
- Exploratory data analysis
- Machine learning
- Practical case study & Kaggle


Bio: Karthikan, who was one of the speaker of this afternoon forum 6 month ago, is a young Technology Consultant at PwC Singapore. He employs data visualization, data manipulation and machine learning tools extensively to deliver solutions/insights that moves the needle in his clients' businesses. An Actuarial Science major at Nanyang Technological University (NTU) having done several Actuarial pricing internships in his undergraduate days, Karthikan has experience in the Actuarial practice and contributes as a member of the Singapore Actuarial Society Data Analytics Committee in his free time


Cost: 250 SGD for paid up Members (please login with your Username before signing-up)

This first series of course is not opened to non-members and student members

S$250 for payment via cheque / internet banking / cash deposit at any DBS branches is preferred.

S$260.60 for payment via Paypal.  During Paypal payment, please wait until the transaction is complete and you are transferred back to the SAS website before closing your browser.


If you would like to attend, please register by signing up by 14th June through this link:


Python for Data Science - Introductory Series : Online Registration <<< Click here to register


An email will follow with IT set up on your own laptop to bring at the sessions will be sent to all registrants when payment has been made.



Thank you


Frederic Boulliung

Data Analytics Committee

Singapore Actuarial Society