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SAS Hackathon 2024: Student Track Details
LGroves
SAS Employee

Hear it here: SAS Hackathon 2024 will feature two student-only tracks this year!

 

LGroves_0-1724766690470.png

 

To capture the enthusiasm of students who are interested in the SAS Hackathon – but don’t have data or a use-case – SAS Academic Programs will provide two tracks to engage students in 2024. These tracks are intended to offer different starting points for students, based upon their current skill-level. And since the tracks don't require mentors - because the data and use cases are provided - students can start Hacking right away on September 16th.

 

Option 1 | Data for Good | Climate Change + Vulnerable Populations

 

This track focuses on data related to climate change and vulnerable populations. Using data from the United States government, students will explore the link between economically vulnerable populations and the geographic areas expected to be most affected by climate change. 

 

By examining simple descriptive statistics and plotting data at the county-level across the United States, this track will be a great starting point for those new to analytics. Moreover, students are asked to create a dashboard with the top 50 counties in the United States who could face the biggest economic challenges stemming from climate change.

 

Want a sneak peek of the use-caseYou can find it on the GitHub page, here.

 

Option 2 | Ethical Data Analysis | Graduate School Admission

 

In this track, you’ll assume the role of predictive modeler in an admissions department for a fictitious university. Your goal is to evaluate historical admissions to a M.S. in Analytics Program and to create the best model to predict student admission. You will then use your best model to determine which students should be admitted as part of the fall 2025 incoming class.

 

And here’s the twist: just because you can run a model doesn’t mean you should. You’ll also be asked to evaluate the models from an ethical perspective and further consider which students would be admitted if the goal in the 2025 cohort was more diversity – however you’d like to define it. This track is more suitable for those with a predictive modeling and machine learning background.

 

All analyses can be completed using our free software for learning: SAS Viya for Learners. By providing students with data, research questions, and a computing environment – we seek to make the SAS Hackathon more accessible for students. Moreover, know that you’ll compete for student-only awards in each option.

 

Want a sneak peek of the second use-case too? Find it on the GitHub page, here 

 

For both use-cases, data will be uploaded to the GitHub repo at 9 am ET on Monday, September 16th. Additionally, you can join your fellow track mates in the Student Track Support page here.

 

Next Steps 

 

In the meantime, what can you do now? Well – the last part is up to you. You need a team of at least two registered people to be approved to participate in the SAS Hackathon… because it’s always better together. So, if you’ve created a team of 2+ people: then wonderful! Please make sure all your teammates are signed up. 

 

And if you haven’t found a team, then please use the chat below and look for teammates. Information that I’d share is (1) the track that interests you (2) your skillset and what you’d like to do in the Student Track(s), (3) your region (i.e., Americas/EMEA/APAC… being in the same region will make collaborating easier). Moreover, the best way to get on a team is for you to create it. In other words, don’t simply submit your information and then disappear. Create a team yourself – and use this guide to finish your new team profile!

 

Happy Hacking!

 

Helpful resources:

How to fill out the Team Profile on Hacker's Hub to complete registration for #SASHackathon - SAS Su...

SAS Hackathon: Frequently Asked Questions (FAQ) - SAS Support Communities

18 Comments
madalina_p
Fluorite | Level 6

I would like to join a team for the first option, details about me:

 

Skills:  SQL, SAS Viya, SAS VA, SAS Programming (Beginner, currently self-learning) 

Excel (Expert) Financial, ESG, CSR, Sustainability, SDG (Competent)

Social: https://www.linkedin.com/in/madalinaperevoznic/

3bdubo
Fluorite | Level 6

I would like to join a team for the first option , my email: bouberimaabdellah@icloud.com   I have a masters in financial engineering and data analytics. I have experience with python , JavaScript and C++.

fansi123
Calcite | Level 5

Hi! I am currently a senior cybersecurity university student and would like to join a team for the first option, details about me:

Beginner Skills:  Vue, Javascript, Excel, Network Security. Excited to learn more!
Email: jackylsitu@gmail.com
Have a blessed SAS Hackathon everyone!

stephanyfd
Calcite | Level 5

Hello @madalina_p  and @fansi123,


Have you found teammates yet ? I was thinking that the two of you, @3bdubo and I could form a team. 
I have a bachelors in mathematics and statistics and I am enrolled in a one year graduate certificate in AI.
I know SAS, R, SQL, Python and Java. If you are interested, please send me a private message


Thank you 😊 

CodeDad2262
Calcite | Level 5

Hey I’m looking for a team.


Beginner Skills: JavaScript, Python, Web technology. 

University student majoring in CS: software engineering.

 

email: Daniel.lowery1@snhu.edu

 

 

LGroves
SAS Employee

Hello Student Hackers!

 

A couple of good questions came up via email - and I thought that I'd repeat them here with my responses:

 

  • Q: How will students access the data and use case
    • A: My goal is to post all of the data to a GitHub repository - and have the students pull all the information from that location.  I will post the information at 9am on Monday, September 16th to ensure that all teams have the same starting point, regardless of geography.  And we'll make sure to let all teams know when this data will drop via email and SAS Communities posts
  • Q: Any guidance on filling out the Team Profile to get entered into the Student Track?
    • A: Yes!
      • If you're interested in Option 1 | Data for Good | Climate Change + Vulnerable Populations please indicate the "Student Track 1" in the Track section of your Team Profile.  And add "Data for Good" under Use Case.
      • If you're interested in Option 2 | Ethical Data Analysis | Graduate School Admission then please put "Student Track 2" in the Track section of your Team Profile... and "Ethical Data Analysis under Use Case.

 

Keep those questions coming - and keep searching for those teammates!
vietdoan
Fluorite | Level 6

Hi, 
Our team has created and published the team profile with the instructions for the student track. 
https://communities.sas.com/t5/tkb/workflowpage/tkb-id/hackathontkb-board/article-id/621
How long would it take for the team to be approved? And is there any further instructions from here or should we wait for now.

Harleen_B
Calcite | Level 5

Hey I’m looking for a team.

Beginner Skills: Java, Python, SQL, Tableau, Azure Studio  . 
University student majoring in Computer Science and Data Science

email: harrykaur0047@gmail.com

LGroves
SAS Employee

@vietdoan - a completed Team profile means that you're in.  It's just that simple.  So, please hold tight for more information and great work!

Cheers,

 

-L

NovaBluez
Calcite | Level 5

Hello,

I am very interested in option 1 and want to participate in ensuring an impact for this cause. I am still looking for a team. I am currently a computer science/engineer student with associates degree in math and computer science. I have experience with Python, C/C++ programming, Java programming, HTML. My email is kimjb1790@gmail.com.

Thank you for your time reading this!

darshchaurasia
Calcite | Level 5

Hey I am looking for a team! 
Drop me an email if you think I will be a good fit in your team or if we can build a team together!
Skills - Excel, SQL, R(Still learning), Java, Javascript, Web Development with Next.js(Can handle 80-100% of front end work depending on the project)

Contact me  -> darshchaurasia@gmail.com 
My Website : https://www.darshchaurasia.com

KaranShrestha
Fluorite | Level 6

 

Hi there! I’m looking to join a team for **Option 2: Ethical Data Analysis**. I’m currently studying MSc Data Science in the UK. I’m really into Data Visualization and have experience with Power BI, Tableau, and SAS Visual Analytics, as well as SAS Programming, Python, R, and Machine Learning models. I’d love to team up and bring these skills to the project! Feel free to connect with me on Linkedin.

Amogha
Calcite | Level 5

Hi I am a master's in Computer Science student. I am looking for teammates for option 2. I have experience in machine learning Predictive model. I am aware of Python, SQL, Predictive analysis.

Kad1
Calcite | Level 5

Hi, I just graduated with a B.S. in Information Technology Management. I'm interested in option 1 and looking for teammates.

I have experience with Python , JavaScript, and MySQL.

Sushant_Magar
Calcite | Level 5

Hello Everyone!

I’m Sushant Thapa Magar, an MSc. Business Analytics student at Royal Holloway with an MBA in Finance and a Chartered Accountancy background. I recently led a winning team in a one-day SAS-RHUL Digital Challenge 2024 and am passionate about leveraging data to drive impactful decisions. For the Hackathon, I’ve chosen Option 2: Ethical Data Analysis for Graduate School Admissions as the track combines advanced predictive modeling with important ethical considerations, making it both challenging and meaningful.

I’m looking to either form or join a team for this track. If you’re interested in working together on this exciting project, let’s connect and explore how we can collaborate effectively!
Skills: Python, Tableau, SAS Programming, predictive modeling, Alteryx, Power BI, reporting, business analytics, Chartered Accountancy insights.

Region: UK(EMEA)

Contact Details:

magarsushant123@gmail.com

www.linkedin.com/in/sushant-magar

mahekshah189
Calcite | Level 5

Hello,

I am looking for a team and I have experience in R (advanced) and Bootstrap and HTML. I am a senior majoring in Statistics so email me at: mshah250601@gmail.com

TIANES
Fluorite | Level 6
I am currently pursuing a bachelor's degree in Business with a concentration in Financial Analytics and a minor in Data Analytics. As I prepare to apply for full-time positions, I am focused on building my portfolio. I have worked with R, SAS programming, Python, Tableau, and Excel. I am particularly interested in Option 2.
Feel free to reach out if you'd like to build a team together.
LGroves
SAS Employee

A lot of last-minute arrivals in this chat, looking for a teammate.  Great!  Please reach out to another participant and create a team (it only takes 2).  We've officially started Hacking, so please don't get left behind!