Spring 2019 Workshop Schedule Poster

Spring 2019 Workshop Schedule Poster

Want to learn GIS? Text analysis? Programming?

Click here to sign up for a workshop or browse DH-related workshops below!

Digital Humanities workshops occur in the Data Lab as part of the Data Lab’s workshop series.

Geospatial and Design Workshops

1. Intro to GIS using ArcMap (Registration Required)

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Monday, January 28, 2019 from 11:00am – 12:30pm
Data Lab, Tisch Library Room 203
Taught by Carolyn Talmadge, Senior GIS Specialist, TTS

Interested in learning the basics of Geographic Information Systems (GIS), but couldn’t get into the class? Come join us for a quick workshop and learn the basics of adding and symbologizing data, querying attribute tables, and creating a final map product for publication in ESRI ArcMap.

2. Principles of Poster Design

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Thursday, April 18, 2019 from 10:30 am – 11:30 am
Digital Design Studio (DDS), Tisch Library 3rd Floor
Taught by Ari Gofman, Social Sciences Data Librarian and Kylie Burnham, Digital Media Specialist, Tisch Library

An interactive session on elements and principles of poster design. While these principles are applicable regardless of what software you design in (or even non-digital design), we’ll make use of the easy to use, free web-based application Canva.

3. Story Maps: Not your Average Presentation

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Friday, April 19, 2019 from 2 pm – 3 pm
Location: Data Lab, Tisch Library Room 203
Taught by Carolyn Talmadge, Senior GIS Specialist, TTS

Sick of using only PowerPoint to make presentations? Esri Story Maps are web applications that let authors combine beautiful, interactive maps with narrative text, striking images, and multimedia including video. Impress your professors, bosses or friends with these attractive and easy to use applications while bringing your story to life. Story maps can be embedded in web pages and truly up your presentation game!

 

Data Analysis and Visualization Workshops

1. A Gentle Introduction to R

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Wednesday, January 30, 2019 from 10:30 am – 11:30 am
Location: Data Lab, Tisch Library Room 203
Taught by Kyle Monahan, Data Science Specialist, TTS

This workshop is designed to get you started with the statistical programming language R. We provide an overview of the R language along with the RStudio interface. During the session, we use datasets built into RStudio to introduce importing data, performing descriptive statistics and making simple visualizations to get you familiar with working in R. This workshop is suitable for those who have not worked with R/RStudio before. No previous statistical experience is required for this session.

2.Visualizing Text: Getting Started with Text Analysis

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Monday, February 11, 2019 from 11 am – 12 pm
Data Lab, Tisch Library Room 203
Taught by Annie Swafford, Digital Humanities Specialist, TTS

You’ve heard of close reading, but how about distant reading? Want to learn how to visualize thematic patterns across Shakespeare’s plays? Presidential speeches? Newspaper articles? Thousands or millions of texts? This workshop will provide an introduction to some simple, free web-based tools for text analysis and visualizations that you can bring into your research and classes. No programming experience required.

3. Web Scraping with Python

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Friday, March 1, 2019 from 2pm – 3pm
Data Lab, Tisch Library Room 203
Taught by Annie Swafford, Digital Humanities Specialist, TTS, TTS

Want to download lots of info from a website, but copy and paste won’t cut it? This workshop will teach you the basics of web scraping, or extracting text from a website with the programming language Python, and the libraries requests and BeautifulSoup, using web scraping texts from Project Gutenberg as an example. This workshop is suitable for those who have not worked with Python before. No previous experience is required for this session.

 4. Intro to Python and Jupyter Notebooks for Data Analysis

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Wednesday, April 3, 2019 from 10:30 am – 12 pm
Data Lab, Tisch Library Room 203
Taught by Kyle Monahan, Data Science Specialist, TTS

This is a hands-on workshop designed to get you started analyzing data using Python and Jupyter Notebooks. We will provide a whirlwind overview of what Python is (and isn’t) and why you might want to use it to look at your data. Then we’ll dive into some programming basics and discuss: What are variables and how do I use them? What other data structures are available? Essential Python packages for data analysis (NumPy, Matplotlib, Pandas, and more) and how to import them. The basics of visualization with Matplotlib. How do I import my data?

No previous programming experience is required for this workshop, and computers will be provided through the Data Lab. If you already have some data that you would like to explore, there will be time to do so at the end, so please feel free to bring it along (preferably in Excel or CSV format). Sample datasets will also be provided.

5. Data Visualization & Tableau

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Friday, April 5, 2019 from 1 pm – 2 pm
Data Lab, Tisch Library Room 203
Taught by Kyle Monahan, Data Science Specialist, TTS and Ari Gofman, Social Sciences Data Librarian, Tisch Library

Charts, graphs, maps, and infographics are a great way to communicate research, but not all visualizations are created equal. In this workshop we will talk about the ways that you can create truthful and effective visualizations and look at a series of examples to see how visualizations can go terribly wrong. We will also start to work with Tableau to make attractive visualizations.

6. Natural Language Processing with NLTK

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Monday, April 8, 2019 from 10 am – 11 am
Data Lab, Tisch Library Room 203
Taught by Annie Swafford, Digital Humanities Specialist, TTS

Want to find names or places mentioned in hundreds, thousands, or millions of texts? Want to find particular adjectives in tweets to learn how people feel about an event or topic? This workshop will teach you the basics of NLTK in Python, using the novel Frankenstein as an example, to help you learn what you can do with a computer and a lot of words.

7. Unlocking Qualitative Data: NVIVO

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Friday, April 12, 2019 from 2 pm – 3 pm
Data Lab, Tisch Library Room 203
Taught by Kyle Monahan, Data Science Specialist, TTS and Ari Gofman, Social Sciences Data Librarian, Tisch Library

Description pending.

Research Management Workshops

1. Organizing your Digital Stuff

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Monday, February 4, 2019 from 10 am – 11 am
Tisch Library Room 223
Taught by Kristin Lee, Research Data Librarian, Tisch Library

We all have a growing collection of digital files – documents and notes, data files, charts and graphs, pictures… the list is endless! In this workshop we will talk about strategies and tools that you can use to keep track of all of your work so that your files are easy to find and safe.

2. You Probably Won’t Break It: A Gentle Overview of Data and Programming

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Wednesday, February 6, 2019 from 11am – 12pm
Data Lab, Tisch Library Room 203
Taught by Kristin Lee, Research Data Librarian, Tisch Library and Ari Gofman, Social Sciences Data Librarian, Tisch Library

Interested in getting started with data analysis, coding, or just want to get more comfortable with your computer? Join us for a gentle introduction to the tools available for different tasks you might be learning about. This session will have no prerequisites or expected knowledge – show up as you are and feel comfortable asking whatever questions you have.

3. Working with Messy Data in OpenRefine

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Friday, February 22, 2019 from 1 pm- 2 pm
Data Lab, Tisch Library Room 203
Taught by Kristin Lee, Research Data Librarian, Tisch Library

So you found a dataset, but it doesn’t quite work for you; now what? Never fear! We have lots of tips and tricks that you can use to clean up a messy data set, adjust the data to line up with what you already have, or just reduce the size of the dataset to only include what you need. We will look at how you can use Excel and OpenRefine to evaluate and work with your data.

4. Can I Use This Stuff?

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Thursday, March 7, 2019 from 11 am – 12 pm
Tisch Library Room 223 (LTC)
Taught by Andrea Schuler, Digital Collections Librarian, Tisch Library

Are you planning to incorporate images, text, data, or other material created by someone else into a project, and wondering what’s allowed? Are you interested in learning more about your rights to your own work? This workshop will provide an introduction to copyright, Fair Use, and licenses in order to facilitate creating and sharing your project.