Are you curious about how to use data in a fun and meaningful way? Does data science and analytics sound intriguing – but you are not sure what it is or how to get started learning?
Then this data hackathon is for you.
No experienced required!!
Join us for the first Belmont Data Collaborative data hackathon. This first one will look at songwriting streaming royalties data from the Mechanical Licensing Collective and you task is to provide insights and models that help to spark something interesting that will help songwriters and others to understand how they are being paid and if songwriters are getting their fair share.
- What is it:
- A data hackathon that looks to use the Mechanical Licensing Collective data to determine songwriter streaming royalty rights and ownership.
- Who can attend:
- All Belmont Students from every major and college – yes – that is you. We want the novice, the curious, and the seasoned hacker.
- Who is involved in hosting:
- Belmont Data Collaborative – the new big initiative on campus to infuse data skills into every major.
Article: Belmont to Invest $60 Million Over Five Years in New Data Initiative - Jack C. Massey College of Business, Mike Curb College of Entertainment and Music Business, and College of Science and Mathematics
- Mechanical Licensing Collective
- Juice Analytics
- Belmont Data Collaborative – the new big initiative on campus to infuse data skills into every major.
- What you get:
- T-Shirt and other swag
- Food – light breakfast, coffee, and lunch will be served
- Prizes for best insights including Yeti-style cups and other items
- An opportunity to hack with some data
What is a data hackathon?
A data hackathon is a free form event, where everyone starts with the same data, hears the same problems or objectives with the data, and then gets into groups and uses software and apps to build their case for meeting those objectives. It could be through the use of Excel, Tableau, Python, or the JuiceBox app, which will be provided by our partner Juice Analytics. (See some examples using JuiceBox)
