Update bootcamp_overview.md

content/introduction/bootcamp_overview.md

@@ -28,7 +28,7 @@ The different sessions of the Research Data Camp address themselves to various s
 * The fourth session, on **Data Management**, will be taught by Mara Sedlins (Research Data Management Specialist at Colorado State University Libraries). It will explore basic principles of data management, and introduce tools for data management and storage. (*Plan; Develop; Preserve*). 
 * Our fifth session is an **Interdisciplinary Tools Tour** taught by Nickoal Eichmann-Kalwara. It will survey various useful data-related tools for interdisciplinary research.  (*Plan; Develop; Publish; Preserve*)
 * The sixth session, on **GitHub and GitHub Pages**, will be taught by Phil White (Earth Sciences and GIS Librarian at CU Boulder Libraries). It will explore how you can use GitHub and GitHub pages as platforms to collaborate with others, and to share and disseminate your work (*Publish; Preserve*)
-* The seventh session, on **Data Analysis in R**, will be taught by Ellergy Galvin (PhD Student in Applied Mathematics at CU Boulder, and Statistics Specialist at CRDDS). It aims to introduce R novices to useful principles, tools, and packages for data-based research in R/R Studio (*Develop*).
+* The seventh session, on **Data Analysis in R**, will be taught by Ellery Galvin (PhD Student in Applied Mathematics at CU Boulder, and Statistics Specialist at CRDDS). It aims to introduce R novices to useful principles, tools, and packages for data-based research in R/R Studio (*Develop*).
 * The eighth and final session will focus on the Python programming language, and will be taught by Kevin Worthington (Maps and GIS Data Specialist at Colorado State University Libraries). The **Python Fundamentals** session will cover the fundamentals of the Python programming language, while **Data Analysis in Python** will introduce you to the use of Python for data-based research (*Develop*). 
 
 We will conclude the Research Data Camp by discussing how you can continue your learning about the various topics introduced at the Camp by participating in CRDDS programs and activities during the fall semester and beyond. We will also discuss the details of the Research Data Camp microcredential, which you can earn by completing a small project that demonstrates your familiarity with the topics presented over the course of the Camp.