Come explore data science tools and methods in a fun, relaxed environment.
Everyone is welcome! Those with little or no data experience are especially encouraged to participate.
Student workshop
Python is a flexible, easy-to-read programming language that you can use to explore data, develop games, scrape information from websites, automate emails and social media posts, and much more. Join us to learn the basics and start coding! Beginners from all disciplines and backgrounds are welcome.
*Free dinner provided
Part 1: Tuesday, September 24, 4:30 – 6:00 pm, Holmes 129
Part 2: Tuesday, October 1, 4:30 – 6:00 pm, Holmes 129
Instructor: Claire Cahoon (claire.cahoon@bucknell.edu)
Co-sponsored by the Digital Pedagogy & Scholarship Department of Library & Information Technology
Student workshop
Want to learn how to create engaging graphs and how to effectively summarize your data? In this workshop, you will learn the basics of R and how to use R to explore, wrangle, and visualize data. Beginners from all disciplines and backgrounds are welcome.
*Free dinner provided
Part 1: Thursday, October 17, 4:30 – 6:00 pm, Holmes 129
Part 2: Thursday, October 24, 4:30 – 6:00 pm, Holmes 129
Instructor: Kelly McConville (k.mcconville@bucknell.edu)
Faculty/Staff workshop
Do you want to increase your Excel knowledge? Since its release in 1985, Excel has gained a reputation as a widely used and versatile program. In this workshop learn about Excel foundations, formulas, pivot tables, and how to create charts and visualizations in Excel.
*Free lunch provided
Part 1: Wednesday, October 30, 12:00 – 1:00 pm, Academic West 204
Part 2: Wednesday, November 6, 12:00 – 1:00 pm, Academic West 204
Part 3: Wednesday, November 13, 12:00 – 1:00 pm, Academic West 204
Instructors: Katie Akateh (katie.akateh@bucknell.edu), Doug LeBlanc (doug.leblanc@bucknell.edu), and Matt Bailey (matt.bailey@bucknell.edu)
Co-sponsored by the Office of Institutional Research and Analytics and the Research Services Department of Library & Information Technology
Let us know what you thought about the workshops! Please fill out the survey separately for each workshop you attended.
We value your honest feedback, both positive and negative.
Looking for a past workshop? See each past semester’s page for more information:
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