Workshop announcement:

1. Participants list & preparation guidelines for Workshop I: Python for Mathematicians and Statisticians

2. Participants list & preparation guidelines for Workshop II: Elementary Data Analysis using Microsoft Excel

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Complimentary Post-conference Virtual Workshop

Two parallel complimentary virtual workshops will be held on 25 November 2020 (Wednesday) for the first 50 registered conference participants (with payment done for conference registration fee).

An e-handbook (for workshop materials) and e-certificate will be given to workshop participants.

Each workshop is limited to 25 participants. Please register and make your payment early to avoid any disappointment!

Workshop I

Python for Mathematicians and Statisticians

This workshop is designed towards the research direction of applied statistical methods and/or mathematical methods in Python. Overall, the participants will be able to learn what can be done in Python.

Upon the completion of this training, the participants will be imbued with the idea of using Python to achieve their research outcomes. Besides, the participants will be able to build up simple statistical models and performing some useful mathematical techniques onto their data.

About Trainer

Mr Chin Ching Herny has been an active member of the Big Data area. He was the Winner of Unlock Asia AI Robot & Big Data Hackathon 2016, top 5 winners of MAMPU Open Data Hackathon 2016 and finalist for Big Apps Challenge 3.0, organized by MDEC in the year 2016. On top of that, he started to dive into this field by self-exploring various data analytics tools like Python, R, SAS, RapidMiner, MySQL and AWS EC2 S3. He also learned some basic HTML5 and CSS for dashboard building and web scrapping purposes. He has been using Python and R since 2015 not just to complete his research but also using it as self-interest in web scrapping, dashboard building and software integration (for example, integrating Excel with Latex to automate reports using Python). He also attended some courses that are related to machine learning and deep learning using Python and R from Coursera and Udemy. Meanwhile, he also achieved the SAS Certified Base Programmer for SAS 9. Apart from that, he has passed a few of the professional exams from the Society of Actuaries (SOA) which are Probability, Financial Mathematics and Models for Financial Economics.

Tentative Programme

25 November 2020 (Wednesday)

Time	Programme
8.45am - 9.00am	Enrollment/Registration
9.00am - 10.30am	Introduction to Python
10.30am - 10.50am	Break
10.50am - 12.40pm	Introduction to Linear Optimization
12.40pm - 2.00pm	Lunch Break
2.00pm - 3.30pm	Introduction to Regression Modelling
3.30pm - 3.50pm	Break
3.50pm - 5.00pm	Distribution Fitting
5.00pm	End of Workshop

Workshop II

Elementary Data Analysis using Microsoft Excel

Understanding and cleansing data set is as important as building models. In order to understand the data and cleanse it efficiently, Microsoft Excel is one of the popular choices. This workshop is designed to introduce and equip participants with some Microsoft Excel skills, in order to perform some elementary analysis of a given data set. Throughout this workshop, several tools that are efficient in performing elementary analysis will be introduced.

About Trainer

Mr Chew Chun Yong is currently a senior lecturer of Department of Mathematical and Actuarial Sciences, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman. He was working in the actuarial industry before joining academia. His current research areas are algebra and mathematical physics.

Tentative Programme

25 November 2020 (Wednesday)

Time	Programme
8.45am - 9.00am	Enrollment/Registration
9.00am - 10.30am	Data and Spreadsheet
10.30am - 10.50am	Break
10.50am - 12.40pm	Summarizing using Excel Function
12.40pm - 2.00pm	Lunch Break
2.00pm - 3.30pm	Pivot Tables and Charts
3.30pm - 3.50pm	Break
3.50pm - 5.00pm	Advance Topics
5.00pm	End of workshop