9 Association of Research Libraries Research Library Issues 298 2019 analytics, and computational data. For the past year, Georgia Tech Professional Education has marketed online boot camps, lasting 24 weeks, in which students, who are generally working full time, build skills in several programming languages and tools. This program competes with the growing number of commercially offered boot camps, which are taught online and in person mainly in major cities in the US. These primarily post-graduate level programs are designed to meet the demand for data officers, data scientists, and related positions, primarily in industry. On many campuses, however, students who are not in data-focused majors or intending to become data science subject-matter experts have few opportunities to learn such new tools and methodologies. Four Georgia Tech librarians, Ameet Doshi, Jay Forrest, Ximin Mi, and Alison Valk, are committed to filling this service gap at the institute. These librarians collaborate to offer non-credit courses, which the library markets to the campus community on its website. Although some classes are taught at the direct request of faculty, librarians create others based on feedback from the community. Georgia Tech Offerings In April 2019 alone, the four librarians leading this program offered 18 classes, some repeated, on a variety of data tools and technologies. In addition to Photoshop for Beginners, Illustrator and Adobe Creative Suite, Introduction to Zotero, and EndNoteX9, they offered Maya 3D Modeling, Introduction to R Studio, Grant Funding through Pivot, Python Twitter Scraping and Analysis, Intermediate R Studio: Visualization, Innovation Plus, and Using LaTeX for Advanced Mathematical Formulas. Some classes are online, and most are offered in the late afternoon or evening. Most require advance registration and all are free to participants. Ximin Mi’s goal is for students to effectively choose and apply the right data-visualization tools to tell the stories behind the data they are working with. With her, students learn through hands-on demonstrations with real-life data. In all “data viz” workshops, Ximin
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