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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.

Spring 2025 Workshops

Create your own Wordle game in Python

Student workshop

Learn how to use the programming language Python to create a simple, text-based word game in the style of Wordle! No previous experience with coding necessary, this workshop will teach you the basics of coding as we build a game together. Beginners from all disciplines and backgrounds are welcome.

Co-sponsored by the Digital Pedagogy & Scholarship Department of Library & Information Technology

Tuesday, February 18th, 4:30 – 6:30pm, Holmes 129

Instructor: Claire Cahoon (Digital Pedagogy & Scholarship Specialist)

Excel Essentials

Student workshop

During this workshop we’ll introduce you to basic excel skills. We’ll teach you some essential Excel Tips and Tricks. You’ll learn how to write and use Excel formulas, sort and filter data, apply cell formatting, and practice using Pivot tables to summarize data. No prior Excel knowledge required. This workshop would be helpful for anyone wanting to hone their Excel skills or who may want to prepare for summer internships and/or research.

Co-sponsored by the Research Services Department of Library & Information Technology

Tuesday, February 25th, 4:30 – 6:00pm and Tuesday, March 4th, 4:30 – 6:00pm

Instructor: Katie Akateh (Research Data Services Specialist)

Introduction to the Command Line

Students, faculty, and staff workshop

Are you a beginner to the command line and curious about the black screen? Do you want to learn how to use Bucknell’s computing server, BisonNet? This workshop will introduce you to the command line and let you explore new ways of interacting with data.

Wednesday, March 19, 4:30 – 6:00pm

Instructor: Janani Hariharan (Richard and Yvonne Smith Postdoc to Tenure Track Fellow in Biology)

How to Create a Survey with Google Forms: A Beginner’s Guide

Faculty/Staff workshop

Dive into the world of survey research with our interactive workshop designed for beginners. This session will guide you through best practices when planning a survey project and the fundamentals of using Google Forms to create, distribute, and analyze surveys effectively. Participants will learn how to design engaging surveys, ensure data quality, and interpret responses to glean meaningful insights. This workshop will equip you with the skills to utilize Google Forms as a powerful tool for gathering data and making informed decisions. The workshop will include an interactive Q&A segment where attendees can ask specific questions and share their experiences.

Co-sponsored by the Office for Institutional Research and Analytics in Library & Information Technology

Wednesday, March 19th, 12:00 – 12:50pm

Instructors: Wei You (Assessment Coordinator) and Rita Liu (Director, Institutional Research)

Qualtrics Essentials: Launching Your Survey Research Journey

Faculty/Staff workshop

Begin your journey into survey research with our foundational workshop on Qualtrics. Designed for beginners, this session introduces the essentials of using Qualtrics to build, distribute, and analyze simple surveys. Learn how to navigate the interface, create basic questions, and employ simple logic to enhance respondent engagement. We’ll also discuss strategies for distributing your surveys in different ways, monitoring responses, and survey collaboration. This workshop is ideal for newcomers who want to use Qualtrics to conduct survey research efficiently. The workshop will include an interactive Q&A segment where attendees can ask specific questions and share their experiences.

Co-sponsored by the Office for Institutional Research and Analytics in Library & Information Technology

Wednesday, March 26th, 12:00 – 12:50pm

Instructors: Wei You (Assessment Coordinator) and Rita Liu (Director, Institutional Research)

Data Analysis with R

Faculty/Staff workshop

This workshop series is for faculty and staff who want to transition to using R for their data work. During the spring semester, we will meet every other week and will cover coding topics across the data science spectrum, such as graphing, wrangling, summarizing, modeling, and mapping. All faculty and staff are welcome to participate.

Meeting throughout the semester

First meeting: Friday, January 31st 12:00 – 12:50pm, Taylor 210

Instructor: Kelly McConville (Director, Dominguez Center for Data Science)

May Plan: Best Practices in Data Visualization

Faculty/Staff workshop

Details coming soon!

Instructors: Kelly McConville, Katie Akateh, and Claire Cahoon

May Plan: Building Neural Networks in Python

Faculty/Staff workshop

Details coming soon!

Instructors: Brian King (Associate Professor for Computer Science)

Workshop Feedback

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We value your honest feedback, both positive and negative.

Previous Semesters

Looking for a past workshop? See each past semester’s page for more information:

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