1) Competition winners and runners up: Check out the top finishers and runners-up of this year's predictive modeling competition here (final standings are listed at the bottom of the post)! With thousands of participants in this year's challenge, the competition was fierce, and we received many amazing submissions. We'd like to thank all the students who submitted to the competition this year, along with the teachers that supported them. We'll be sharing this post on our general listserv and social media channels later today!
2) Last day to access the challenge notebooks: Thursday, June 27, 2024 - Due to server cost constraints, we'll be deactivating the 2024 Data Science Challenge after 6/27. This means that, if students don't download their work by 6/27, it may get deleted. Before that date, we highly recommend that your students log in to the challenge, open each of their notebooks, and download them as PDFs (File -> Print Preview -> Ctrl+P -> Save as PDF) and as .ipynb files (File -> Download as -> Notebook .ipynb). This way, they'll have a "read-only" copy (.pdf) and a runnable copy (.ipynb) of their work in perpetuity.
3) Provide feedback and (optionally) feature your students: We want to improve the data science challenge each year. For that reason, we're asking for the greatest gift you can give us: your feedback. Please fill out this 5 minute survey (only 2 open response questions!) by Friday, 6/28. You'll have to be logged into a google account in order to fill out the survey. At the end of the survey, there are opportunities to get more involved by joining a focus group or featuring your class in forthcoming blogs about the challenge. These opportunities are completely optional - if you're interested, definitely check them out!
4) Interested in learning more R, data science, and machine learning / AI as an educator? Check out our low-cost, asynchronous Data Science & AI Bootcamp for Educators. The bootcamp covers the material from the challenge at a much deeper level, while also delving into completely new material (e.g. programming neural network AI models). Teachers who complete the bootcamp earn a certificate for 18 hours of training and can apply to become paid instructors for the synchronous student summer bootcamps! (note: availability of positions depends on student demand). You can start and finish the course at any time.
Thank you for participating in this year's After the AP Data Science Challenge! We hope you have a wonderful summer ahead!
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