Build the data science skills your team needs
RStudio Academy, the most effective way to learn data skills with your team.
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Why join Academy?
- Customized curriculum fitting the needs of your team
- Practice-based learning
- Learning in groups, within your company
- Check-ins with RStudio mentors
tutorials10+weeks of
training
Who is Academy for?
- Companies with data science teams of 7+
- Teams in need of practical skills
- Remote teams looking to learn together
- Companies looking to solve real life challenges
Traditional data science
training is broken.
If your goal is to train data scientists, it is unlikely to happen with workshops and online courses alone.
What's not working
You only learn the facts
Traditional training does teach you the facts, but when you try to apply them, you have no idea where to begin.
You cover too much in too little time
Workshops and webinars speed through more content than what can reasonably be retained in the long run.
You learn in isolation
If you learn without a mentor or a team, you miss out on important guidance and risk losing motivation.
The Academy model
We teach you the skills
We focus on project-based learning so that you apply facts to solve real-world problems from the start.
We practice to master
We emphasize daily practice and frequent feedback, so your skills are built to last.
We do it together
Meet with a mentor and peer group regularly for the support, guidance and accountability to reach your goals.
An immersive data science program with five key parts
Academy’s centerpiece is a hands-on project that you complete with the support of a peer group, mentors, lessons, and daily practice.
Lessons
Learn the fundamentals for the project with interactive lessons.
Project milestones
Each week, recreate a progressive piece of the project and expand on it.
Group sessions
Share your work and ideas with your group at weekly sessions.
Mentor meetings
Meet regularly with a mentor to get personalized guidance.
Daily practice
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!
Learn how RStudio Academy can help your team to become more data-literate
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Questions & answers
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.