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Upcoming workshops at the Libraries

See the Events Calendar for dates and start times of all events and workshops


4/11, 11:00 – 12:00 pm, Evanston
Cite Smarter & Manage Your Research – Zotero — Register

4/16, 6:00 – 7:00 pm, Online/BlueJeans
Cite Smarter & Manage Your Research –EndNote  — Register

4/17, 2:00 – 3:00 pm, Evanston
Cite Smarter & Manage Your Research – EndNote  — Register

4/19, 1:00 – 2:00 pm, Evanston
Cite Smarter & Manage Your Research – Mendeley — Register

4/28, 12:00 – 1:00 pm, Chicago
Cite Smarter & Manage Your Research – EndNote — Register

Introduction to R Statistical Programming, 4/10 and 4/17, 2:00 – 3:00 pm
Learn how to use this free tool for statistical computing. This workshop will cover setting up R, importing data, descriptive statistics and running linear regression models. Basic knowledge of statistics is recommended.

Intermediate R, 4/27, 10:00 – 11:30 am
For those that have competed the Introduction to R workshop and want to move past of basics of R and work on using some of the most used packages like ggplot2 and dplyr.

Introduction to STATA, 4/16, 2:00 – 3:30 pm
Learn how to use this tool for statistical computing. This workshop will cover an overview of the interface, importing data, descriptive statistics and running linear regression models. Basic knowledge of statistics is recommended.


Introduction to Desktop GIS , 4/11, 12:00 – 1:30 pm
In this beginner class learn about using GIS to make a map and begin doing spatial analysis. You will learn how to make a basic map, edit and interact with data, and the fundamentals of GIS data organization.

Introduction to Web GIS, 4/25, 12:00 – 1:30 pm
In this beginner workshop you will learn how to build a web enabled map using ArcGIS Online as well as how to make a story map.

Introduction to GIS Using ArcGIS Pro, 5/2, 12:00 – 1:30 pm
ArcGIS Professional (ArcGIS Pro) is the latest desktop geospatial analysis software from Esri. ArcPro makes it easier to visualize, edit and analyze your geographic data. This application is different from ArcMap which you have previously used. In this workshop we will cover how create a project and do some basic map making and spatial analysis.


Digital Archive Workshop, 4/5, 4:00-5:00 pm
Join Northwestern University Libraries and the Department of African American Studies for a workshop on The HistoryMakers digital archive. The HistoryMakers is an archival collection of thousands of African American video oral histories designed to promote and celebrate the successes and to document movements, events and organizations that are important to the African American community and to American society. — Register.


Advanced Literature Searching, 4/4, 3:00 – 4:00 pm
Come learn efficient strategies to conduct searches that can save you hours of time and lots of frustration. We will cover search strategies, methods, and the appropriate databases for use in different subject areas. We will also discuss the nuts and bolts of literature searching: using filters, database fields, Boolean operators, truncation, and citation analysis. Participants are asked to bring a laptop if possible. — Register.

Data Manipulation with Excel, 4/18, 3:30 – 4:30 pm
Have you ever wondered how you can clean, manipulate data, and make them look as neat as possible in order to run the analyses you wanted? In this workshop, we will rediscover the many cool techniques you can use to manipulate data using Excel. We will discuss more advanced function writing, various look-up functions, and other useful techniques. Bring your laptop to follow along. — Register

Data Organization in Spreadsheets: Best Practices, 5/2, 3:00 – 4:30 pm
Do you collect or store data in spreadsheets? Do you work with others who do? Then this workshop is for you. We’ll discuss best practices for formatting and organizing data in spreadsheets to avoid errors, make data files ready for import into statistical software, improve consistency, and save your colleagues and your future self headaches and trouble. We’ll look at examples of spreadsheets to discuss ways they could create problems for researchers and discover ways to improve them. You may want to bring a laptop, but a computer isn’t necessary for this workshop. — Register.

Intro to Visualization, 5/16, 3:00 – 4:30 pm
This interactive, fun tutorial is focused on best practices when visualizing quantitative data. The participants first will be given an overview of what “visual literacy” is, as well as some important terms and concepts related to visualization. Then the participants interact and follow along as they figure out how to identify ‘bad’ charts and graphs fix them to make them more effective. This workshop is geared towards anyone who wants to communicate their data and leave a meaningful impact on their audience or anyone who is curious about how to design effective visual communication for data. The participants are expected to bring their own laptops and have Microsoft Excel (or a comparable spreadsheet program) installed. There will be some hands-on visualization building in this course! — Register.

Research on the Go: Accessing Library Resources via Mobile Devices, 5/30, 3:00 – 4:00 pm
Mobile devices increasingly offer options for doing your research on the go. Bring your mobile device, and we will highlight useful apps to aid your research productivity and help you efficiently access the library’s electronic resources from anywhere. We will offer some useful tips for making the most of mobile access and help troubleshoot problems if needed. Have a favorite mobile research app? Come and tell us about it! — Register.

4/10, 8:00 – 5:30 pm, Norris University Center
Computational Research Day is an all-day symposium which brings together students, faculty, and researchers across fields and disciplines to share and promote their experiences and efforts in digital research. Through a broad range of activities, we will explore topics including research reproducibility in computational science, data management and data science challenges, research communication, and much more. The umbrella of themes includes high performance and parallel computing, creating and working with large data sets, artificial intelligence and machine learning, and computer vision and visualization. The event also provides networking opportunities for faculty, graduate students, undergraduate students, postdoctoral researchers, and staff. Find out more.