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What You'll Learn

Bridging the gap between data science and IT teams is much easier to do than most would think. This two-part webinar with Colin Gillespie from Jumping Rivers will discuss why open source languages are suitable for enterprise data science, and how the data scientist can work with the IT team to get their organizational buy-in.

The first webinar will discuss the big picture of using open source languages and tools in enterprise environments while the second webinar will be a hands-on workshop to gain certain skills for securely putting R in production.

Practical Advice for R in Production, Part 2: How?

The second webinar will be a hands-on workshop where you will learn best practices for securely putting R in production in a way that your IT team would approve of. This includes administering RStudio products, version control with Git, CI/CD pipelines, and even working in containerized environments.

About the speaker

Colin Gillespie
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Senior Statistics Lecturer

Colin is a Senior Statistics lecturer at Newcastle University and is a co-founder of Jumping Rivers. He has used R for over twenty years and has been teaching R for the past fifteen years. He recently co-authored the O’Reilly book on Efficient R Programming.

Logistics

Only 3,000 live attendees are allowed in the Webinar on a first come first serve basis. There will be approximately 45 minutes of presentation and about 15 minutes for Q&A.

Slides & Code

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.

Go to the repo

Webinar Recordings

If you can't attend, don't worry. We record (almost) every webinar and post all materials on our website within 48 hours.

See past webinars