Workshop – R Bootcamp: For Newcomers to R
Sunday, June 3, 2018 in Las Vegas
Two and a half hour evening workshop: 6:30pm-9:00pm
Room: Emperors II
Intended Audience:
Practitioners who wish to learn the nuts and bolts of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.”
Knowledge Level: Experience with handling data (e.g. spreadsheets) or hands-on familiarity with any programming language.
Workshop Description
This evening workshop launches your tenure as a user of R, the well-known open-source platform for data science and machine learning. The workshop stands alone as the perfect way to get started with R, or may serve to prepare for the more advanced full-day hands-on workshop, “R for Predictive Modeling”.
Designed for newcomers to the language of R, “R Bootcamp” covers the R ecosystem and core elements of the language, so you attain the foundations for becoming an R user. Topics include common tools for data import, manipulation and export. If time allows, other topics will be covered, such: as graphical systems in R (e.g. LATTICE and GGPLOT) and automated reporting.
The instructor, a leading R developer and the creator of six R packages, including CARET, a core R package that streamlines the process for creating predictive models, will guide attendees on hands-on execution with R, covering:
- A working knowledge of the R system
- The strengths and limitations of the R language
- Core language features
- The best tools for merging, processing and arranging data
Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download.
Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.
Schedule
- Workshop starts at 6:30pm
- End of the Workshop: 9:00pm
Instructor
Brennan Lodge, Data Scientist VP, Goldman Sachs
Brennan is a self-proclaimed data nerd. He has been working in the financial industry for the past ten years and is striving to save the world with a little help from our machine friends.
He has held cyber security, data scientist, and leadership roles at JP Morgan Chase, the Federal Reserve Bank of New York, Bloomberg, and Goldman Sachs.
Brennan holds a Masters in Business Analytics from New York University and participates in the data science community with his non-profit pro-bono work at DataKind, and as a co-organizer for the NYU Data Science and Analytics Meetup.
Brennan is also an instructor at the New York Data Science Academy and teaches data science courses in R and Python.
