Live Webinar

Welcome to #SASCORTEXChallenge

SAS Cortex Analytics Simulation Challenge

Cortex is an online simulation game where participants learn analytics skills using SAS predictive modeling technology for a non-profit organization.

The game teaches users how to use predictive models to make business decisions.

Monday, May 24, 8:00 AM AEST - Friday, May 28, 18:00 PM AEST 

About the Challenge

Cortex is an analytics simulation game developed by SAS and HEC Montreal.

How it Works

In Cortex, players are working for a non-profit organization. They have a data set of 1 million potential donors. Using SAS Enterprise Miner, participants build a predictive model to figure out who to contact about donating to the organization. Players upload their results to an online leader board to see how they rank compared to other players.

There is a USD$50 entry fee; this provides you with access to SAS software in the cloud, the dataset, case study, daily webinars and how-to videos.

T & C's apply*

Why attend?

Whoever builds the best model after the 5-day challenge wins:

  • Virtual 4-week Internship with SAS, a global leader in analytics, with a multi award winning culture *T&C’s apply
  • Learn and apply key predictive modeling skills to build your resume.
  • Receive a SAS Badge for their online and LinkedIn profiles.

This event is no longer available for registration.

 
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All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Webinar - Day 1
Demo of game from start to finish;
i.e. from login to submission on the leaderboard 

Webinar - Day 2
Tips on how to improve your model
(i.e. hyper-tuning parameters)

Webinar - Day 3
Open Q&A 
LIVE with Jiaying Wu

Webinar - Day 4
Round 2
(uplift modeling) 

Webinar - Day 5
Open Q&A 
LIVE

About the Experts


Andrew Gu
Analytical Consultant /System Engineer Expert, SAS Australia

He has experience in Enterprise Risk and Credit data (CECL, BASEL I & II, Comprehensive Credit Reporting), Cloud/Digital Transformation- AWS Services, Renewable Energies/DNSP Utilities, Enterprise telecom real-time fraud detection with ML and Process Automation.

He advices customers regarding statistical and AI strategies, focusing on how they can achieve tangible business value from data-driven decisions. I also implement, code and integrate software directly into business processes with cloud services.

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