Online 5-day Analytics Data Science Challenge
SAS® Viya® for Learners Challenge
About the Challenge
SAS® Viya® for Learners is a full suite of cloud-based software that supports the entire analytics life cycle – from data, to discovery, to deployment – and it also lets you code in SAS, Python or R. Hosted on Kaggle Inclass, participation is geared towards students who are looking to get into, and engage with machine learning problems.
The problem for the challenge is on a simulated data set, related to a real world business problem that might be faced. Through analysis, students will understand how to explore and pre-process data, develop and deploy machine learning models using SAS Viya.
Digital Badge
Participants get the chance to hone their skills, and receive a SAS Badge for their resume for completing the challenge.
Register your details, once done you will receive an email with further instructions on how to log onto Kaggle InClass ready to play the challenge on Monday, 15 July 2024. Don't forget to get access to SAS® Viya® for Learners to play the game.
Join in and continue to build your skills with SAS.
Why attend?
- A 4-week voluntary Internship for only the Top 3 individual entries on the Leaderboard with SAS Institute Australia. SAS Institute is a global leader in analytics, with an award-winning culture
*see Kaggle site for further information
Register Your Interest
Tune in for our Daily Webinar
Webinar - Day 1
Prepare data for analysis
A self-service, point-and-click environment makes it easy to access, integrate, transform and modify data so that it's ready for analysis.
Webinar - Day 4
Open Q&A
LIVE with special Guests 1st and 2nd place winners
Webinar - Day 2
Visually explore data to discover new insights
Interactive, self-service visualisation tools enable you to easily search for relationships, trends and patterns to gain a deeper understanding of your data.
Webinar - Day 5
Open Q&A
LIVE
Webinar - Day 3
Deploy
Explore methods to deploy analytics in an interactive platform. Transforming analytics into valuable and informed decisions.
Speaker Details
Milica Gallardo Petkovich, MSc Data Science,
Customer Advisory Intern,
SAS Australia
She is currently supporting SAS as a Customer Advisory intern based in Canberra. She received her master's in data science from the University of Canberra with a specialisation in artificial intelligence and computational modelling. This background, as well as her academic experience in economics, creates a deeper understanding between customer needs and SAS solutions. Milica has participated in SAS Academic Programs through the Industry Project Program at SAS. This opportunity allowed Milica to have hands on experience using SAS on a real-world problem, while receiving mentorship from supporting SAS team members. This experience led Milica to become an intern today and support initiatives like the Viya for Learners challenge.
Tzuwei Tsai, MSc Data Science,
Customer Advisory Intern,
SAS Australia
She is a Customer Advisory intern based in our Canberra office. She recently earned her Master’s degree in Data Science, specializing in AI and Computational Modelling. During her time in the Industry Project Program at SAS, Tzuwei collaborated with peers on a significant project focused on the Australian mortgage market, utilizing data-driven insights. Throughout this program, she received valuable mentorship from experienced members of the Canberra office, further honing her skills and expertise. Before joining SAS, Tzuwei amassed diverse experience in project management, market development, sales, and banking. Her solid foundation in economics and data science enables her to offer a unique combination of analytical and operational expertise to our clients. Currently, Tzuwei supports our public sector portfolio at both the federal and state levels and contributes to the development of GenAI projects.