2-Day “R” Workshop 1/25-26/2018 Medical Campus
This 2-Day Software Carpentry Workshop in R at MEDICAL CAMPUS is capped at 30 participants, and is on a first-come/ first-served basis.
- If you are looking to make yourself competitive in the job market
- If you want to take a personal project to the next level
- If you are interested in playing with data
Then, this workshop is for you.
Our trained instructors will lead you through a comprehensive, hands-on overview of what you can do with R, using an example dataset. We will go from reading data into R to data types, functions, conditional statements, loops, how to write in RMarkdown, as well as best practices for writing R code that other people can understand and use. This workshop is designed to provide a foundation of basic concepts that all programming depends on, using R as an example.
Topics covered in this workshop:
- The Unix shell
- Version control with git
- Programming with R
Since the goal of this workshop is to bring you up to speed with data analysis, it would be incomplete without instruction on a shell as well as a version control system. The shell is important in building reproducible data analysis pipelines where your R or Python scripts may be just one component, and git is an incredibly useful tool for version control, collaboration and management of your coding projects.
This course is currently full . . .
Thursday, January 25 + Friday, January 26, 2018
8:30 AM Registration | 9:00 AM – 5:00 PM Course Hours, Both Days
Batchelor Children’s Research Institute
1580 NW 10th Avenue, Room 508, Miami, FL 33136
NOTE: Bring your own laptop (any OS).
Brought to you by the Institute for Data Science and Computing, the Miami Clinical and Translational Science Institute (CTSI), and the Graduate School, this 2-day workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team. The format is a mixture of short seminars and hands-on practical exercises, and participants are encouraged to help one another, and to try applying what they have learned to their own research problems during and between sessions.
Instructor: Alejandro Mantero, PhD Candidate in Biostatistics, University of Miami