D-Lab

This three-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.Read more about Python Text Analysis Fundamentals: Parts 1-3

It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages...Read more about R Data Wrangling and Manipulation

For this workshop, we'll provide an introduction to visualization with Python. We'll cover visualization theory and plotting with Matplotlib and Seaborn, working through examples in a Jupyter notebook.Read more about Python Visualization

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for...Read more about R Geospatial Fundamentals: Vector Data: Parts 1-2

This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data,...Read more about R Fundamentals: Parts 1-4

This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry...Read more about R Data Visualization with ggplot

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease...Read more about Finding Health Statistics and Data

Pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real world data analysis in Python. In this workshop, we'll work with example data and go through...Read more about Python Data Wrangling and Manipulation with Pandas

This workshop will start by introducing you to navigating your computer’s file system and basic Bash commands to remove the fear of working with the command line and to give you the confidence to use it to increase your productivity. And then working with Git, a powerful tool for keeping track of...Read more about Introduction to Bash + Git

This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data,...Read more about R Fundamentals: Parts 1-4

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.Read more about Geospatial Data and Mapping in Python: Parts 1-2

This workshop will introduce attribute and spatial queries and joins in QGIS. Basic knowledge of QGIS is assumed.Read more about Geospatial Fundamentals with QGIS: Queries & Joins