Description
This is the first lesson in a two-part workshop series Programming and Data Analysis with R and BASH, which is delivered as part of the NFCDS pedagogdy fellowship program.
Given the increasing amount of data being generated today, programmatic data analysis is an important skill for a wide range of fields. The R programming language and Unix/Linux command line can be powerful tools for analyzing data on their own. More powerfully, the huge variety of R and command line tools can be used together with scripting to create custom pipelines to analyze large or complex data sets.
Outcomes
As a hands-on workshop participants will learn what R and Unix/Linux command line tools are available for processing different types of data sets. This workshop begins with a walkthrough of essential programming and scripting techniques. Also included is an introduction to best practices in both programming and data analysis.
Audience
This workshop is designed for anyone interested in learning more about programming best practices, and how to create R and BASH scripts to automate data analysis. These lessons will help you to learn the fundamental concepts necessary to understand coding, programming, and the basics of the R and BASH programming languages as a beginner.
No prior programming or data analysis experience is required.
Prerequisites
- Participants should be comfortable with using a computer and basic statistical methods. Furthermore, participants should have:
- limited to no experience with BASH
- limited to no experience with R
Each participant needs to have access to a computer with R, RStudio, and Unix/Linux or the Windows Ubuntu app. To get started, follow the directions in the Setup tab.
Since this is an introductory workshop, we will be available 30 minutes prior to the workshop to walkthrough installing the necessary software.
- Please complete the pre-workshop survey before getting started with the workshop.
Exit Ticket
Please complete the post-workshop survey after completion of the workshop, and before you leave.