Announcement: Registration for the Teacher Data Science Bootcamp is on pause, due to an unforeseen global disruption in Canvas Free-for-Teacher access. We're sorry for any inconvenience this may cause and truly appreciate your understanding.
Teacher Bootcamp
For K12 educators interested in learning more about R, data science, and AI, we're offering an asynchronous teacher version of the bootcamps - at a highly subsidized cost.
Learn the R programming language and modern data science techniques (including programming AI) through these asynchronous modules.
No coding or stats experience is required, but experience teaching statistics or computer science is helpful.
Teachers who complete the bootcamp earn a certificate for 18 hours of training and can apply to become paid instructors for the student summer bootcamps! (note: availability of positions depends on student demand, see FAQ below)
The asynchronous modules include videos, coding exercises, support forums, and live office hours to help you complete the bootcamps at your own pace.
Low-Cost Tuition: $45
Course Progression (~2 hrs per module)
Frequently Asked Questions (FAQs)
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After registering, you can complete the course at any time.
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If you complete the full course, you'll get a certificate of completion for 18 professional development hours. However, if you can only complete part of the course, you can still request a certificate for partial completion at any time. These certificates award hours in proportion to the number of modules completed.
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Even though the modules are self-paced, you are not alone! The course involves Q&A Forums and live office hours with data science experts.
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Any teacher who fully completes the asynchronous bootcamp will become eligible for a role as a paid instructor. Note that eligibility is not a guarantee of an offer. The availability of summer positions depends on student demand. If the demand is high enough to support new positions, we'll reach out to eligible instructor candidates in the spring based on the quality of their submitted asynchronous bootcamp projects. From there, candidates will be interviewed and final selections will be made.