Lansing Area R Users Group (laRUG) with Data Science
The Lansing Area R Users Group (laRUG) brings together R users in the Lansing area for discussions on data science (analysis and predictive modeling), big data, and all things R. This group provides a relaxed environment to exchange ideas and discuss R. Whether you are new to R (and programming), a statistician, or an advanced user, we are the group for you.
Monthly Meetups
We hold monthly meetings on the second Monday of the month from 7-9pm at the Biggby Coffee in front of Dunhams and the Secretary of State (SoS) Office Lansing, Michigan Google Map next to Ranney Park (Plus Code: PFMX+H5 Lansing, Lansing Charter Twp, MI).
The first hour of the meetup is devoted to a specific topic while the second hour is more of an open question and answer session – or it might be a continuation of the first hour. The discussions range from specific R functions and libraries, to general data science and analytics topics, to open discussion and help sessions. Everyone is welcomed to attend the meetings, bring questions and ideas, and participate or observe.
November 13, 2017
(s/l/a)pply versus loop versus dplyr
Do you use loops? Or do you use (s/l/a)pply? How about dplyr? Which do you like better? Come join the discussion!
December 11, 2017
to be determined
Past Meetups
- November 13, 2017 (s/l/a)pply versus loop versus dplyr Do you use loops? Or do you use (s/l/a)pply? How about dplyr? Which do you like better? Come join the discussion!
- October 9, 2017 Non-technical introduction to deep learning, with kerasR: Interested in deep learning but don’t know where to start? This was a non-technical introduction with kerasR lead by Yu Lucy Han (LinkedIn), a Business Intelligence Analyst at Centurion Medical Products. [Notes coming…]
- September 11, 2017 Using R for Data Analysis and laRUG Planning: A general discussion of the latest packages and methods for analyzing data. We will also discuss and plan the meetups through the end of the spring 2018 semester.
- August 14, 2017 A discussion lead by Emilio Xavier Esposito (LinkedIn), a Data Scientist and Senior Consulting Computational Chemist at exeResearch on data science workflows with R. [Notes coming…]
- July 10, 2017 Modelling staffing needs: A discussion lead by Chris Umphlett (LinkedIn), a Senior Operations Business Process Analyst at Jackson National Life, on how departments adjust for non-weekend adjacent holidays and the different strategies they employ to staff moving holidays and non-moving holidays. (Notes on holiday staffing and other topics)
- June 12, 2017 Data Scientist Survey: A presentation by Burtch Works – an executive recruiting firm specializing in analytics and data science positions – was presented followed by a Q&A session with Naomi Keller (LinkedIn). (Notes on Q&A about the Data Science Job Market)
- May 2017 (Notes on text mining)
- April 2017 (Notes)
- March 2017 (Notes)
- February 2017 (Notes)
- January 2017 (Notes)
- December 2016 (Notes on Tableplots, Notebooks with R Markdown, dygraphs, and a traffic accident dataset)
Additional Resources
LinkedIn Group Please request to become a member!
Organizers
laRUG is organized by:
- Jack Brown (LinkedIn)
- Emilio Xavier Esposito (LinkedIn)
Sponsors
Want to sponsor or host a laRUG meeting? Please contact Emilio