Melbourne Data Science Week - 29 May - 2nd June 2017
melbourne data science week
Tutorials
Reception
&
8 Tutorials
|
Conference
|
18 Speakers
|
2 Tracks
29 May - 2 June 2017
Sold Out Last Year!
Educational Talks
Tutorials
Networking
Interaction
Social
Tickets Now Available
34Days
8Hours
1Mins
35Secs

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

Rory Gallagher

Managing Director at The Behavioural Insights Team

Sandy Clarke

Researcher at University of Melbourne

Amy Shi-Nash

Head of Data Science at Commonwealth Bank of Australia

Chris Culnane

Research Fellow at University of Melbourne

James Horton

CEO at datanomics

Eunkyung Lee

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

Yihui Xie

Software Engineer at RStudio, Inc.

Ying Yang

Director of Data Science at Australian Taxation Office

Glen Rabie

CEO at Yellowfin

Diana Benavides Prado

Data Scientist at the Centre for Social Data Analytics, AUT

Di Cook

Professor of Business Analytics at Monash University

Ross Gayler

Independent Consultant

Stephanie Kovalchik

Data Scientist at Tennis Australia

Colette Marais

Data Scientist at Telstra

Nick Tierney

Post-Doctoral Researcher at Monash University

Simon Angus

Senior Lecturer at Monash University

Andrew Robinson

Director of CEBRA at The University of Melbourne

Graham Williams

Director of Data Science at Microsoft

Lisa Schutz

Managing Director at Verifier and InFact Decisions

Tiberio Caetano

Chief Scientist at Ambiata

Meet the Tutors

Click on the Tutor's photo for details

Phil Brierley

Independent Data Science Consultant

Yihui Xie

Software Engineer at RStudio, Inc.

Stephanie Kovalchik

Data Scientist at Tennis Australia

Graham Williams

Director of Data Science at Microsoft

Nayyar Zaidi

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

Earo Wang

PhD Student at Monash University

Lawrence Mosley

CEO at Omni Analytics Group

Eric Hare

Data Scientist at Omni Analytics Group

Rob Hyndman

Professor of Statistics at Monash University

Zhen He

Associate Professor at La Trobe University

Eunkyung Lee

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

Isaac Reyes

Head of Data Science at Altis Consulting

Yanchang Zhao

Data Scientist at IBM Australia; Founder of RDataMining.com

Di Cook

Professor of Business Analytics at Monash University

Melbourne Data Science Week at a Glance

29th May – 2nd June 2017

 

Mon-Thu:  Tutorials @KPMG

(only a few places remaining)

DateTutorialTutor
Mon 29th MayTime Series in R, Forecasting and Visualisation (FULL)Earo Wang & Rob Hyndman
The Art of Data StorytellingIsaac Reyes
Getting Started with Deep LearningZhen He
Tue 30th MayGetting Started with Deep Learning (FULL)Zhen 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 Shiny Shiny (FULL)Eric 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

 

Friday 2nd June: Wombat MeDaScIn @nab

Friday 2nd June nab
 700 Bourke St, Docklands
The ArenaThe Hall
Morning
8:00Registration (tea & coffee provided)
8:30Welcome
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.
tbd
tbd
10:00 - 10:25Amy Shee-Nash
Data Science at Scale in Large Organisations
Lawrence Mosley
Entrepreneurship and the Brave Data Science Graduate Student
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)
Afternoon
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, Reproducible reporting
Lisa Schutz, Andrew Robinson, Di Cook, James Horton
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 - 5:00Datathon Presentations
The winners of the 2017 Melbourne Datathon will present their findings on Australian Drug Prescriptions
Lightning Talks
5:00+Networking

Venues

Welcome Reception and Talks

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

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
Melbourne

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.

Sponsors

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

dsmlogo1smaller

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

34Days
8Hours
1Mins
34Secs