Melbourne Data Science Week - 29 May - 2nd June 2017
melbourne data science week
8 Tutorials
18 Speakers
2 Tracks
29 May - 2 June 2017
xxx Sold Out xxx
Educational Talks
Tickets Now Available

Hope you enjoyed it!

We hope you enjoyed Melbourne Data Science Week 2017. You can see some  photos of the event and selected presentations

See you again soon!

Melbourne Data Science Week 2017

Two sold out events from 2016 are combining in 2017 to create what will hopefully be a great Data Science-palooza for Melbourne. Learn about applications, data, ideas and the latest tools for data science. Participate in panel sessions and break-time discussions with your colleagues from industry, academia and government. Hear from the datathon winners about how they did it.
For those who want hands on Data Science training there will be 8 full day tutorials from Mon-Thu.
On Thursday evening we will kick off with 2 talks and drinks & finger food reception @ KPMG 
The 2 track WOMBAT MeDaScIn conference will be on Friday @ nab
Melbourne Data Science week and the Melbourne Datathon are co-ordinated by the DSM meetup group  for the community. The cost of this event is kept low thanks to the fantastic support we receive and any proceeds will be used to help continue organising events.
We thank everyone for their support and hope you enjoy the week.





Meet the Speakers

Click on the Speaker's photo for details

Colette Marais

Data Scientist at Telstra

Yihui Xie

Software Engineer at RStudio, Inc.

Ying Yang

Director of Data Science at Australian Taxation Office

Lisa Schutz

Managing Director at Verifier and InFact Decisions

Tiberio Caetano

Chief Scientist at Ambiata

James Horton

CEO at datanomics

Glen Rabie

CEO at Yellowfin

Sandy Clarke

Researcher at University of Melbourne

Diana Benavides Prado

Data Scientist at the Centre for Social Data Analytics, AUT

Amy Shi-Nash

Head of Data Science at Commonwealth Bank of Australia

Stephanie Kovalchik

Data Scientist at Tennis Australia

Nick Tierney

Post-Doctoral Researcher at Monash University

Scott Thomson

Customer Solutions & Innovation APAC at Google

Ann Nicholson

Professor, Faculty of Information Technology at Monash University

Rory Gallagher

Managing Director at The Behavioural Insights Team

Graham Williams

Director of Data Science at Microsoft

Eunkyung Lee

Chair of Statistics Department at EWHA Women’s University, Korea

Chris Culnane

Research Fellow at University of Melbourne

Anastasios Panagiotelis

Senior Lecturer at Monash University

Simon Angus

Senior Lecturer at Monash University

Nicholas Gruen

Lateral Economics

Andrew Robinson

Director of CEBRA at The University of Melbourne

Ross Gayler

Independent Consultant

Di Cook

Professor of Business Analytics at Monash University

Meet the Tutors

Click on the Tutor's photo for details

Yanchang Zhao

Data Scientist at IBM Australia; Founder of

Rob Hyndman

Professor of Statistics at Monash University

Di Cook

Professor of Business Analytics at Monash University

Eric Hare

Data Scientist at Omni Analytics Group

Zhen He

Associate Professor at La Trobe University

Earo Wang

PhD Student at Monash University

Stephanie Kovalchik

Data Scientist at Tennis Australia

Eunkyung Lee

Chair of Statistics Department at EWHA Women’s University, Korea

Nayyar Zaidi

Data Scientist and Research Fellow (Machine Learning) at Monash University

Graham Williams

Director of Data Science at Microsoft

Yihui Xie

Software Engineer at RStudio, Inc.

Isaac Reyes

Head of Data Science at Altis Consulting

Phil Brierley

Independent Data Science Consultant

Lawrence Mosley

CEO at Omni Analytics Group

Melbourne Data Science Week at a Glance

29th May – 2nd June 2017


Mon-Thu:  Tutorials @KPMG

(only a few places remaining)

Mon 29th MayTime Series in R, Forecasting and Visualisation Earo Wang & Rob Hyndman
The Art of Data StorytellingIsaac Reyes
Getting Started with Deep LearningZhen He
Tue 30th MayGetting Started with Deep LearningZhen He
R Markdown EcosystemYihui Xie
Wed 31st MayGetting Started with Predictive Modelling and Machine LearningNayyar Zaidi & Phil Brierley
Visualisation for Data Mining / Sports Analytics with RDi Cook & Stephanie Kovalchick
Thu 1st JuneAssociation Rules, Text Mining and Social Network Analysis / Machine Learning with Rattle and R Yanchang Zhao &
Graham Williams
Building Web Apps and Dashboards with RStudio's ShinyEric Hare & Lawrence Mosley


Thursday 1st June from 5:15pm: Opening Talks, Drinks & Finger Food @KPMG

Join us aftter work (or the tutorials) at KPMG for two opening talks and welcome reception, plus an optional tour of their new Insights Centre.

Talks commence at 6pm

Rory Gallagher – Managing Director at the Behavioural Insights Team

Scott Thompson – Customer Solutions & Innovation APAC at Google


Friday 2nd June: Wombat MeDaScIn @nab

Friday 2nd June nab
 700 Bourke St, Docklands
5:30+Drinks at Platform 28
The ArenaThe Hall
8:00Registration (tea & coffee provided)
8:40 - 9:25Opening Keynote
Graham Williams
Extreme Ensembles as the Future of Data Science and Intelligent Apps

9:30 - 9:55Lisa Schutz
Lean Data v. Big Data: Data scientists have a lot to learn from lean manufacturing. More is not always better.
Ann Nicholson
Bayesian networks for decision making under uncertainty
10:00 - 10:25Amy Shee-Nash
Data Science at Scale in Large Organisations
Anastasios Panagiotelis
Building an Interactive Choropleth using Shiny
10:25 - 10:45Morning Tea (provided)
10:45 - 11:10Glen Rabie
Data Analyst to CEO
Diana Benavides Prado
Implementation of a predictive model to support child maltreatment hotline screening decisions
11:15 - 11:40Ying Yang
Leading Data Science In The Public Service
Nick Tierney
Tidy approaches to Missing Data
11:45 - 12:10Chris Culnane
The fallacy of de-identification and its impact on Open Data
Eun-kyung Lee
Visualization of Projection Pursuit Classification Tree Models
12:10 - 12:55Lunch (provided)
12:55 -1:40Overseas Keynote
Yihui Xie
Towards An Open-access, Fast, and Reproducible Journal

1:40 - 2:20Panel Discussion
Open Data in Australia: Privacy, Ownership, Quantitative citizenship
Lisa Schutz, Andrew Robinson, Di Cook, James Horton, Nicholas Gruen
2:20 - 2:30Break
2:30- 2:55Colette Marais
Data Science in the Wild
Simon Angus
The Internet as a quantitative social science observation platform
3:00 - 3:25Ross Gayler
Credit scoring as data science in the wild: A stroll through the contextual zoo
Stephanie Kovalchik
Challenges of the Challenge System in Professional Tennis
3:25 - 3:45Afternoon Tea (provided)
3:45 - 4:10Tiberio Caetano
Data Science Bullshitting
Sandy Clarke
Improving Estimation of Biosecurity Risk
4:15 - 5:15Datathon Presentations**
Entrants of the 2017 Melbourne Datathon will present their findings on Australian Drug Prescriptions
Lightning Talks*
5:15 - 5:30Presentation to the winners of the Kaggle competition for predicting Diabetes, closing address

*Lightning Talks

Christoph Bergmeir Geospatial mapping of episodes of clinical aggression in a major teaching hospital using data visualisation
Tim Baker Pedigree and performance insights in racetrack betting markets
Piyush Madhamshettiwar Interactive multivariate data exploration, visualisation and reporting in R
Jessie Nghiem A dive into life insurance data
Earo Wang Sketch people’s daily schedules
Belinda Maher TBA

 ** Datathon Insights Presentations

United Airline

Kaggle Talk – Paul Harrison


Welcome Reception and Talks

Thu 1st June 2017 – 5:15pm – 8:30pm
Level 36, Tower Two Collins Square
727 Collins St

KPMG is located near the Collins St. entrance of Southern Cross Station. Get the lift in tower 2 to the reception on level 36

(all tutorials will also be held at KPMG)


Wombat MeDaScIn Conference

Friday 2nd June 2017- 8:00am onwards
nab Arena
700 Bourke St

The nab is on the walkway between Southern Cross Station and Etihad Stadium. For directions see here or a map here, or just scroll through the pictures below.

The Arena is on the ground level just opposite the cafe. The Hall is at the top of the escalator located in the foyer just outside the Arena.


Sponsorship opportunities for Melbourne Data Science Week are available. Please click here for details.


Extreme Gradient Boosted Sponsors

Social Network Analyzer


Bayesian Believers

We appreciate the continued support of DSM throughout the year by by the following companies

La Trobe University, Yellowfin, Data Science Solutions, AGL, iSelect, Teradata, Rubix Consulting, deepWhite, SAS, Monash University, KPMG, Zendesk, northraine, Sportsbet, Tiberius Data Mining, nab


The inaugural Melbourne Data Science Week would not have been possible without the generous support of all our tutors, speakers, hosts and sponsors – THANK YOU


If you would like to get involved with DSM then please let us know


Melbourne Data Science week is organised by:

Di Cook (Wombat – Worshop Organised by the Monash Business Analytics Team)
Phil Brierley (MeDaScIn – Melbourne Data Science Initiative)

Highlights from 2016