3-Day Training: R & Statistics for the Digital Analyst – June 13-15 (Columbus, OH)
One challenge I found over the course of last year as I worked to learn R and learn how to apply statistics in a meaningful way to digital analytics data was that, while there is a wealth of information on both subjects, there is limited information available that speaks directly to working with digital analytics data. The data isn’t necessarily all that special, but even something as (theoretically) simple as translating web analytics “dimensions and metrics” to “variables” (multi-level factors, continuous vs. categorical variables, etc.) sent me into multiple mental circles.
In an effort to shorten that learning curve for other digital analysts, Mark Edmondson from IIH Nordic and I recruited Dr. Michael Levin from Otterbein University and have put together a 3-day training class:
- Dates: June 13, 2017 – June 15, 2017
- Location: 95 Liberty Street, Columbus, OH, 43215
- Early Bird Price (through March 15, 2017): $1,695
- Full Registration (after March 15, 2017): $1,995
- Event Website
The course is a combination of lectures and hands-on examples. The goal is that every attendee will leave with a clear understanding of:
- The syntax and structure of the R language, as well as the RStudio interface
- How to automatically pull data from web analytics and other platforms
- How to transform and manipulate data using R
- How to visualize data with R
- How to troubleshoot R scripts
- Various options for producing deliverables directly from R
- The application of core statistics concepts and methods to digital analytics data
The course is broken down into three core units, with each day being devoted to a specific unit, and the third day bringing together the material taught on the first two days:
The first and third days have a heavy hands-on component to them.
Who Should Attend?
This training is primarily for digital analysts who have hit the limits of what can be done effectively with Microsoft Excel, the native interfaces of digital analytics platforms, and third party platforms like Tableau. Specifically, it is for digital analysts who are looking to:
- Improve their efficiency and effectiveness when it comes to accessing and manipulating data from digital/social/mobile/internal platforms
- Increase the analytical rigor they are able to apply to their work – applying statistical techniques like correlation, regression, standardization, and chi square so they can increase the value they deliver to their organizations
Attendees should be relatively well-versed in digital analytics data. We will primarily be working with Google Analytics data sets in the course, but the material itself is not platform-specific, and the class discussion will include other platforms as warranted based on the make-up of the attendees.
Attendees who currently work (or have dabbled with) R or statistics are welcome. The material goes “beyond the basics” on both subjects. But, attendees who have not used R at all will be fine. We start with the basics, and those basics are reinforced throughout the course.
Oh… and Columbus, Ohio, in June is a great place to be. The class includes meals and evening activities!
Head over to the event website for additional details and to register!