RStudio Academy, the most effective way to learn data skills with your team.
Schedule a meetingIf your goal is to train data scientists, it is unlikely to happen with workshops and online courses alone.
Traditional training does teach you the facts, but when you try to apply them, you have no idea where to begin.
Workshops and webinars speed through more content than what can reasonably be retained in the long run.
If you learn without a mentor or a team, you miss out on important guidance and risk losing motivation.
We focus on project-based learning so that you apply facts to solve real-world problems from the start.
We emphasize daily practice and frequent feedback, so your skills are built to last.
Meet with a mentor and peer group regularly for the support, guidance and accountability to reach your goals.
Academy’s centerpiece is a hands-on project that you complete with the support of a peer group, mentors, lessons, and daily practice.
Learn the fundamentals for the project with interactive lessons.
Each week, recreate a progressive piece of the project and expand on it.
Share your work and ideas with your group at weekly sessions.
Meet regularly with a mentor to get personalized guidance.
Build long-lasting habits with spaced-repetition drills.
Experiential learning is key to generating the motivation needed to develop our Data Scientists, and RStudio Academy has been a great ally in this journey.
I would highly recommend RStudio Academy to other institutions and we look forward to repeating the Academy for future cohorts!
Academy is organized like an apprenticeship: during the week you learn about R with asynchronous tutorials and then apply what you learn to a project. In the middle of the week, you’ll have the opportunity to check in with your Academy mentor to receive guidance and ask questions about your project work. The week concludes with a group session, where you present your project progress to your classmates. They learn from your experience, and you gain important feedback.
Academy students report spending between 45-60 minutes on Academy each workday during the 10 weeks of instruction.
A typical Academy program has ten weeks of learning materials with 1-2 additional weeks built-in to serve as planned breaks. On off weeks, we encourage you to complete a short daily drill (< 5 minutes) to keep what you’ve learned fresh.
With your input, we build a tailored syllabus that develops the skills most relevant for your team. We have existing projects that you can use right away, or we can work with you to build a custom project that meets your team’s specific goals. All our projects teach Tidyverse methods, so that you learn the best-practices in data science with the latest and most efficient R tooling available.
Absolutely. We have a curriculum that is appropriate for beginning and experienced coders alike. Our interactive lessons provide tailored feedback so that you get support you need based on your answers with every practice exercise. And our mentoring model ensures that you receive experience-appropriate guidance for the project throughout the program.