FAQs

What will students learn in bootcamp?

Students will cover the basics of building data science projects, from asking questions to collecting data and modelling data to generate knowledge (and even build their own simple artificial intelligence).

How will instruction be delivered?

Teams will have the chance to join weekly synchronous lessons, and/or work through self-paced project-based learning modules. All synchronous lessons will be pre-recorded, and our team will provide support through Microsoft Teams chat and office hours.

What is required for teacher advisors?

No prior experience in data science is needed and our expectations for advisors are to help with facilitating their own team(s) - ex.) setting up virtual team meetings, providing emotional support, facilitating interactions with mentors, etc.

What technology is required?

We will run our program over Microsoft Teams, Google Drive, and Chrome. All software we use is free and can be accessed through your browser.

Can I use my own datasets?

Yes, absolutely! Students may either choose their own datasets or build off of ones that we've gathered. Our main goal is to help students make connections between data science and what they personally relate to and/or what they learn in school.

Do I need to know how to code?

No coding knowledge is required in order to participate - students will learn data science through free no-code tools such as Google Sheets and Data Studio. Coding options are available in Colaboratory for students who know basic Python.

How can I relate this to my classroom?

Our learning materials cover foundational topics ranging from CC6 to CC8 math and statistics (for example, summarizing datasets or plotting bivariate data). We design our materials to be low-floor, high-ceiling and easily extendable.