Data Science & AI Bootcamps
Last year, we piloted the After The AP Data Science Challenge. It was a success, and we're going to run the challenge again this year (more info coming in early April). However, we received a question over-and-over from participants who finished the challenge last year: "This was a nice intro, but where can I go to learn more?"
This year, we have an answer. It's an opportunity that almost any high school student can pursue, regardless of whether they've seen the challenge or not. Today, we're incredibly excited to announce our new...
Data Science & AI Summer Bootcamp
A bootcamp for ambitious high school students, using R to analyze big datasets and construct AI models (e.g. neural networks). No prior coding experience required!
These 2-week summer bootcamps have been endorsed by lecturers at Harvard, MIT, and Berkeley and by data scientists at Apple, Amazon, and TikTok (among others). The live online instructional modules guide students, in small groups, through the R coding language, advanced analyses of big datasets, and the construction of artificial intelligence models. All entry levels (coding experience or not) are welcome!
It all culminates in a final data / AI project on a topic of interest (e.g. sports, public health, business, the environment) that students can share with colleges and internships. If you have any students interested in pursuing or exploring data science, ask them to check out this summer bootcamp opportunity:
To support instructors and server space, the bootcamps come at a cost. However, Skew The Script is also proud to offer...
Need-based financial aid: The bootcamps are free for any student with a household income below $60,000.
Teacher bootcamps: For K12 educators interested in learning about R, data science, and AI, we're offering a "teacher version" of the bootcamps - at a highly subsidized cost. Educators who complete the bootcamp become eligible for paid instructional positions in future summers. Find out more and join the waitlist here.
We're so excited to work with these relevant datasets and relevant skills this summer - and we hope to see you and your students there!
Let's skew it!