Command Line Workshop

• Learn common commands to create files (`touch` and `echo`)

Data Ethics

• Know the stages of data analysis
• Understand the difference between proprietary and open data formats

Introduction to Git and GitHub

• Learn what Git, GitHub and Markdown are, how do they differ, and how they can be integrated to support your scholarly work
• Learn what version control is and why it can be useful

Introduction to HTML and CSS

• Familiarize yourself with the anatomy of a webpage and how the Internet works.
• Understand the basics of the HTML and CSS markup languages.

Introduction to R

• Familiarize you with R language
• Understand R syntax, logic, and

Mapping Workshop

• Become familiar with fundamental mapping concepts, such as how spatial data is organized and displayed.
• Distinguish among two different forms of spatial data—vector data and raster data.

Introduction to Python

• Understand what Python is and, in general terms, what it can do.
• Run Python programs, both by interacting directly with the interpreter and by preparing and running scripts.

Text Analysis Workshop

• How to prepare texts for computational analysis, including strategies for transforming texts into numbers
• How to use NLTK methods such as `concordance` and `similar`