Welcome to the UNE Data Science & Statistics Club📊📈

 

CLICK HERE TO JOIN

 

Established in 2024, our club is dedicated to supporting and advancing the interests of all members who are passionate about data science and statistics. Whether you're a seasoned professional or just starting out, this is the perfect place for you!

As a member, you'll have the opportunity to participate in workshops, network with industry experts and peers, and engage in various competitions and events. We regularly host meetups in Sydney to connect and collaborate with fellow students. Our data nights, competitions, and hackathons provide a fun and challenging way to hone your skills and build your portfolio. Additionally, we host student-led discussions on topics of interest and provide resources for your professional development. 

Join us to be part of a supportive community dedicated to helping you grow and succeed in the field of data science and statistics!

 

🏆 2024 New Club of the Year Award 

🏆 2024 Online Activation of the Year Award

 

For email enquiries, please contact dssc@myune.edu.au

 

Events
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DataCamp Classroom FREE Premium Membership
Mar
20
DataCamp Classroom FREE Premium Membership
20-03-2026 09:00 – 20-09-2026 11:00
 Don’t Miss Out: FREE Premium DataCamp Memberships (Worth $150 each) for Club Members!  We’re thrilled to announce that the UNE Data Science & Statistics Club has been selected for DataCamp Classroom!  Thanks to DataCamp Classroom, we have access to premium DataCamp licenses sponsored by DataCamp ( https://www.datacamp.com/) for 6 months. This is your chance to gain free premium access to world-class data science and statistics courses to grow your skills and advance your career!  How to Apply: To be considered for a license, you must:  Be a current member of the UNE Data Science & Statistics Club. You may join via the official UNE Life page (powered by TidyHQ): https://unedssc.tidyhq.com/  Email the Data Science & Statistics Club at dssc@myune.edu.au with your request. Please ensure that you are emailing with your official UNE email address, so we know that you are a current student/staff.  This is an incredible opportunity to learn a new programming language or practice your Data Science skills—all for FREE!  Learn more about DataCamp Classroom: https://www.datacamp.com/universities Let’s make the most of this partnership and level up our data science skills together!  #DCDonates * Licenses activate on 21/3/26. * If you are interested, please ensure your membership is current on TidyHQ: https://unedssc.tidyhq.com
WIN A $25 GIFTCARD! Data Night | ONLINE
Aug
13
WIN A $25 GIFTCARD! Data Night | ONLINE
19:00 – 21:00
📊 WIN $25! Data Night | Online 🗓 13 August 2026, 7:00 PM (AEST) 📍 Zoom: https://une-au.zoom.us/j/82603385050?pwd=zbAYoR3ybriPTXnnotHcUMNaydyYmr.1 👉 Interested? Grab a ticket to RSVP by 11 August 2026! Join us for a relaxed Data Night! It's a great opportunity to meet other students interested in data science and statistics, explore a dataset, try out some analysis, and (if you'd like) share what you found with the group. 🎁 Everyone who presents goes into a random draw to win a $25 Coles/Woolworths gift card. We've had lots of new members join recently from different degrees and at different stages, so this event is designed to be flexible and beginner friendly. Whether you're learning the basics or experimenting with machine learning, we'd love to see what you build. 💡 Suggested datasets Smaller dataset House Prices: Advanced Regression Techniques https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques Perfect if you're a beginner or looking for a manageable dataset. Whether you want to do EDA, hypothesis testing (e.g. t-tests), regression, or build a predictive model, this dataset has plenty to explore. Larger datasets NYC Yellow Taxi Trip Data https://www.kaggle.com/datasets/elemento/nyc-yellow-taxi-trip-data IEEE-CIS Fraud Detection https://www.kaggle.com/competitions/ieee-fraud-detection Great if you'd like to experiment with PySpark, machine learning, SQL, or other big data workflows. Note: These datasets are several GB in size. Feel free to work with a subset if needed. On Kaggle, you can use the Data tab to choose which files to download, or use a Kaggle Notebook to access the data without downloading it to your own computer. If there's a dataset you're already passionate about, feel free to bring that along instead. 🎤 Presentations If you'd like to present, you'll have 2-3 minutes to share: What question you explored How you approached it What you found This is intentionally low pressure. Whether you ran a t-test, created a few visualisations, or trained a machine learning model, you're welcome to share. The goal is simply to practice working with real data, learn from each other, and maybe create something you can later upload to GitHub. 👀 You're also welcome to come along just to watch. PS: This is also a great opportunity to request access to our free DataCamp Premium membership or show off some of the skills you've been building there. 💻 Want to connect with other data science and statistics students in the meantime? Join our Discord server! 💬

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