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Graduate Specialist Program (New Brunswick Libraries): Workshops - Date order

Home page for the New Brunswick Libraries' Graduate Specialist Program

Fall 2019 Workshop Master Schedule

Fall 2019 workshop master schedule  (For workshops grouped by topic, click here)

October workshop information now available.  We expect to add a few more workshops for November.

Additional workshops on High Performance Computing are offered by OARC.  See their calendar and resources for more information.

Bring your own laptop to these sessions to get the most out of them!  

Introduction to SAS

  • Wednesday, September 18 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, September 26 – 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

This workshop provides an introduction to SAS, covering the basics of navigation, loading data, graphics, and elementary descriptive statistics and regression using a sample dataset. 

SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry and health sciences, among other applications.

Citation Management with Zotero

  • Tuesday, September 24, 10:00 am - 11:00 am, Alexander Library, Digital Humanities Lab, Room 406-407 (Instructor: Francesca Giannetti)
  • Thursday, September 26, 1:00 pm - 2:00 pm, Alexander Library, Digital Humanities Lab, Room 406-407 (Instructor: Francesca Giannetti)

Zotero is a free application that collects, manages, and formats citations and bibliographies. In this introductory, hands-on workshop, we’ll learn how to organize sources, attach PDFs and notes, create tags for easy searching, and generate citations and bibliographies in Word. Bring your personal laptop, download Zotero 5.0 for your OS, and the Zotero Connector for your favorite browser. 

R for data analysis: a tidyverse approach

  • Wednesday, September 25 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, October 3– 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

The session introduces the R statistical software environment and basic methods of data analysis, and also introduces the "tidyverse".  While R is much more than the "tidyverse", the development of the "tidyverse" set of packages, led by RStudio, has provided a powerful and connected toolkit to get started with using R.  Note that graphics and data manipulation are covered in subsequent sessions.

R graphics with ggplot2 

  • Wednesday, October 2 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, October 10– 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  

What can be Data in the Humanities?

  • Monday, October 7, 10:00 am - 11:30 am, Alexander Library, Room 413 (Instructor: Alex Leslie)
  • Tuesday, October 8, 2:00 pm - 3:30 pm, Alexander Library, Room 415 (Instructor: Alex Leslie)
  • Thursday, December 5, 10:00 am - 11:30 am, Alexander Library, Room 415 (Instructor: Alex Leslie)

The biggest initial hurdle to using DH methods in one’s own work is finding usable materials in the first place. This workshop is designed to help identify potential data in the wild of humanistic sources and how to translate it into usable formats. We’ll explore specific practices like transcribing archival materials into spreadsheets and turning HathiTrust texts into clean .txt files. We’ll also survey examples from existing scholarship to demonstrate some possible uses of these kinds of data as well as weigh the costs and benefits of translating sources into data.

Python Basics and Data Exploration

☞ RSVP for the Python workshops.

  • Tuesday, October 8,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong)

  • Friday, October 11, 1pm-2:30pm Alexander Library, Room 415 (Instructor, Sanket Badhe)

This workshop will be an accelerated introduction to fundamental concepts such as variable assignment, data types, basic calculations, working with strings and lists, control structures (e.g. for-loops), functions.

R data wrangling with dplyr, tidyr, readr and more

  • Wednesday, October 9 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, October 24 – 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

Some of the most powerful features of the tidyverse relate to its abilities to import, filter, and otherwise manipulate data.  This session reviews major packages within the tidyverse that relate to the essential data handling steps require before (and during) data analysis.

Thematic Maps in QGIS

  • Wednesday, October 9, 11:00 am - 12:30 pm, Alexander Library, Room 413 (Instructor: Francesca Giannetti)
  • Tuesday, October 15, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Francesca Giannetti)

Thematic maps show one or more themes (or variables) arranged spatially on a map. In this workshop, we’ll explore the basic building blocks of geospatial visualizations, including data types, file formats, and some ways of representing data, using a free and open source GIS called QGIS.

Data 101

  • Monday, October 14, 10:00 am - 11:30 am, Alexander Library, Room 413 (Instructor: Alex Leslie)
  • Thursday, October 17, 10:00 am - 11:30 am, Alexander Library, Digital Humanities Lab (Instructor: Alex Leslie)
  • Tuesday, December 10, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Alex Leslie)

So you’ve finally assembled or gotten your hands on a dataset or spreadsheet. Nice work! Not sure what to do next? This hour-long workshop will provide strategies for efficiently turning semi-structured data into tidy data before introducing participants to a range of simple but powerful analyses using the R programming language. No coding experience required. Participants are encouraged (but not required) to bring their own datasets to work with, and all are welcome to stay afterwards for an open office hour to discuss any further or more specific questions.

Data Manipulation and Analysis with Python

☞ RSVP for the Python workshops.

  • Tuesday, October 15,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong)
  • Friday, October 18, 1pm-2:30pm Alexander Library, Room 415 (Instructor, Sanket Badhe)

In this workshop, we will dive into the world of arrays and data frames using the NumPy and pandas libraries. We'll cover data cleaning and pre-processing, joining and merging, group operations, and more. If you work with tabular data, this workshop is for you!

Georeferencing Historical Maps in QGIS

  • Wednesday, October 16, 11:00 am - 12:30 pm, Alexander Library, Room 413 (Instructor: Francesca Giannetti)
  • Tuesday, October 22, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Francesca Giannetti)

Georeferencing is the process of assigning real world map coordinates to a two dimensional image or raster. This technique allows researchers to take an historic map and plot it in modern mapping software, such as QGIS. In this workshop, we will explore two different methods of using raster imagery in historical GIS.

R for interactivity: an introduction to Shiny

  • Wednesday, October 23 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, October 31 – 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

Shiny is an R package that enables the creation of interactive websites for data visualization.   This session provides a brief overview of the Shiny framework, and how to edit and publish Shiny sites in RStudio (with shinyapps.io).  Familiarity with R/RStudio is assumed.

Data Visualization and Machine Learning with Python

☞ RSVP for the Python workshops.

  • Tuesday, October 29,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong)
  • Friday, October 25, 1pm-2:30pm Alexander Library, Room 415 (Instructor, Sanket Badhe)

Interested in finding patterns and predicting unknown attribute values in your data? Join us for an overview of machine learning techniques implemented using the scikit-learn library. We'll also learn how to do data visualization with matplotlib, a popular plotting library in Python.

R for reproducible scientific documents: knitr, rmarkdown, and beyond

  • Wednesday, October 30 – 12:00-1:20 pm, LSM Conference Room (Instructor, Ryan Womack)
  • Thursday, November 7 – 2:50-4:10 pm, Alexander Library Room 415 (Instructor, Ryan Womack)

The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment.

Text Mining Newspapers, Part 1

  • Thursday, October 31, 10:00 am - 11:30 am, Alexander Library, Room 413 (Instructor: Alex Leslie)
  • Tuesday, November 5, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Alex Leslie)

This workshop is the first of two exploring the recently added New Jersey newspapers in Chronicling America. In this first part, we’ll focus on techniques and strategies for fuzzy string matching in the R programming language, using the OCR-derived text from the Perth Amboy Evening News. Anyone interested in fuzzy string matching or textual analysis of mass print is encouraged to attend.

Libraries and Data Visualization
☞ RSVP for the Python workshops.
This workshop will continue with Numpy and Panda libraries. Data visualization with matplotlib, a popular plotting library in Python, will also be covered. 
  • Tuesday, November 5,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong)

Introduction to GIS with QGIS

☞ RSVP for the GIS workshops.

This is an introductory workshop with no prior experience needed. It will utilize QGIS, a freely available program.

  • Wednesday, November 6, 1:30-3:30 pm, LSM Conference Room (Instructor, Rahul Dagli)

Text Mining Newspapers, Part 2

  • Thursday, November 7, 10:00 am - 11:30 am, Alexander Library, Room 413 (Instructor: Alex Leslie)
  • Tuesday, November 12, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Alex Leslie)

This workshop is the second of two exploring the recently added New Jersey newspapers in Chronicling America. In the second part, we’ll begin with the results of the previous workshop and do some basic analysis of phrase use over time, frequency, and collocate words. Anyone interested in fuzzy string matching or textual analysis of mass print is encouraged to attend; attendance of part one is encouraged but not necessary.

Statistical Inference with Python

 

☞ RSVP for the Python workshops.

 

In this workshop, we will explore basic principles behind using data for estimation and for assessing theories. The workshop will focus on inference procedures, constructing confidence intervals, and hypothesis testing.

 

  • Friday, November 8, 1pm-2:30pm Alexander Library, Room 415 (Instructor, Sanket Badhe)

Exploring the Landscape of Digital Editions

  • Monday, November 11, 2019, 2:45 pm–4:15 pm, Alexander Library, Room 413 (Instructors: Isabella Magni and Francesca Giannetti)

Curious about the latest developments in digital textual studies? Would you like to learn about existing and ongoing digital editions undertaken by scholars at Rutgers and beyond? This workshop will provide a hands-on introduction to the theory and practice of encoding literary and historical texts for the humanities. This workshop is designed for people considering starting a digital project using primary sources, or who would like to understand the concepts of text markup using the Text Encoding Initiative (TEI) Guidelines. RSVP to fg162 [AT] rutgers.edu

Python in Industry - Cryptocurrency Comparison Project

☞ RSVP for the Python workshops.

Utilizing numpy, pandas and matplotlib, this workshop will show how to make a program that can compare the price, Log Returns, SMA (Simple Moving Average) of Bitcoin and Ethereum, and predict which one is a better investment choice with Python. 

  • Tuesday, November 12,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong) 

Advanced GIS with QGIS

☞ RSVP for the GIS workshops.

This workshop will build on the introductory workshop. Some previous experience with QGIS is assumed.

  • Wednesday, November 13, 1:30-3:30 pm, LSM Conference Room, (Instructor, Rahul Dagli)

Data Science with Python, part 1

☞ RSVP for the Python workshops.

 

This workshop delves into a wider variety of basic supervised learning methods for both classification and regression (Linear Regression, Logistic Regression, Naive Bayes, k-nearest neighbor). In the last part, we will discuss unsupervised learning techniques namely k-Means, PCA. We will apply all techniques on a dataset and compare each of these techniques in terms of accuracy, inference, etc. 

 

  • Friday, November 15, 1pm-3pm Alexander Library, Room 415 (Instructor, Sanket Badhe)

Introduction to NVivo 

☞ RSVP for the NVivo workshops.

  • Thursday, November 21, 3:30 pm-5:00 pm, Alexander Library IHL 413 (Instructor, Shari Cunningham)

This workshop is intended as a basic introduction to using NVivo, a software that supports qualitative and mixed methods research. The workshop focuses on introducing key mechanisms of the software that may be applied as required by different analytical approaches.

Data Science with Python, part 2

☞ RSVP for the Python workshops.

 

This workshop focuses on advanced supervised learning methods for both classification and regression (Decision Tree, Random Forest, Support Vector Machine, Ensemble learning, Neural Network). We will apply all these techniques on a dataset and compare the results of each technique.

  • Friday, November 22, 1pm-3pm Alexander Library, Room 415 (Instructor, Sanket Badhe)
Interaction with API in Economics 
☞ RSVP for the Python workshops.
An API, or application programming interface, is a common tool for interacting with data on the web. This workshop will present how APIs are used in Finance (Equity and Cryptocurrency) and Economics (FRED) industry. 
  • Tuesday, November 26,  1pm-2:30pm  LSM Conference Room (Instructor, Sly (Ziqiu) Zhong) 

Network Analysis in Gephi

  • Monday, December 2, 2:00 pm - 3:30 pm, Alexander Library, Room 413 (Instructor: Alex Leslie)
  • Tuesday, December 3, 10:00 am - 11:30 am, Alexander Library, Room 413 (Instructor: Alex Leslie)

Network analysis is one of the most popular approaches in the digital humanities because it allows us to model relations–between individuals, texts, locations, and more. In this workshop, participants will be introduced to the central concepts of network analysis before learning how to use Gephi, one of the most popular programs for analyzing and visualizing networks.

Advanced NVivo: Data Visualizations Using NVivo 12

☞ RSVP for the NVivo workshops.

  • Thursday, December 12, 3:30 pm - 5:00 pm, Alexander Library, Room 415 (Instructor: Shari Cunningham)

This workshop focuses on the introduction of a suite of visualizations that help you gain deeper insights from your data by exploring and unearthing patterns, trends and connections.

____________________________________________________________

These workshops were offered in Spring 2019.  We expect to offer similar workshops in Fall 2019, with the schedule to be announced in mid-September.

Citation Management with Zotero 

Zotero is a free application that collects, manages, and formats citations and bibliographies. In this introductory, hands-on workshop, we’ll learn how to organize sources, attach PDFs and notes, create tags for easy searching, and generate citations and bibliographies in Word. Bring your personal laptop, download Zotero 5.0 for your OS, and the Zotero Connector for your favorite browser. 

Python Basics and Data Exploration 

This workshop will be an accelerated introduction to fundamental concepts such as variable assignment, data types, basic calculations, working with strings and lists, control structures (e.g. for-loops), functions. We will also start working with pandas, a popular data science library in Python, to explore a dataset on foodborne outbreaks reported to the CDC.

Visualizing Demographic Data in Social Explorer 

This workshop will introduce you to Social Explorer, an online mapping tool that allows you to explore and visualize demographic data. We will explore the tool's basic capabilities and make sample maps using data from the American Community Survey (ACS).

Data Manipulation and Analysis with Python 

In this workshop, we will dive into the world of arrays and data frames using the NumPy and pandas libraries. We'll cover data cleaning and pre-processing, joining and merging, group operations, and more. If you work with tabular data, this workshop is for you!

Data Visualization and Machine Learning with Python 

Interested in finding patterns and predicting unknown attribute values in your data? Join us for an overview of machine learning techniques implemented using the scikit-learn library. We'll also learn how to do data visualization with matplotlib, a popular plotting library in Python.

Introduction to Quantitative Text Analysis

This hands-on workshop will introduce participants to the basics of quantitative textual analysis using the R programming language. Participants will each first select a text of their choice from Project Gutenberg (literary or otherwise), which we will then explore through the demonstration of a variety of approaches, including word frequency, distribution, and co-appearance. No coding experience required.

Data Scraping: Interaction with APIs with Python 

This workshop is intended to show how to use Python to interact with third-party APIs for data collection. Different type of APIs with real applications will be introduced. Examples such as Rest API for FRED and Quandl will be discussed. A project regarding interacting with FRED API and merging with historical data will be demonstrated in detail.

Data Mining: Regression and Classification with Python 

The traditional Least Square estimation, KNN face severe overfitting issues when the dataset has high-dimensional features. Modern data mining regression techniques such as lasso and classification techniques such as SVM gives a better estimation result in such a situation. The workshop intends to show how lasso and SVM works in Python. Compare the estimation result of Lasso with least square estimation, SVM with KNN in the high-dimensional setting.

Introduction to Mapping 

What kind of information should be mapped? Which tool is best for the job? If you’ve ever found yourself asking either of these questions – or any other about getting started with mapping – this workshop is for you. We’ll begin with a primer how to identify what kind of data is best suited by a map and what data is necessary to make a map. Then, we’ll explain how to get started with a few common mapping programs (StoryMap JS, Palladio, Tableau, Carto) and evaluate what kinds of uses each is best suited to.

Accessing and Exploring Twitter Data

This hands-on workshop will step participants through the process of collecting social media data from twitter (by handle, hashtag, and/or search phrase) and some of the concerns involved. Participants will then be introduced to a few simple ways to begin analyzing tweet content and metadata, such as the number of likes and retweets.

Introduction to NVivo

This workshop is intended as a basic introduction to using NVivo, a software that supports qualitative and mixed methods research. The workshop focuses on introducing key mechanisms of the software that may be applied as required by different analytical approaches.

Approaches to Web Scraping in R 

This workshop explores web scraping techniques and strategies in the R programming environment.

Advanced NVivo: Data Visualizations Using NVivo 12

This workshop focuses on the introduction of a suite of visualizations that help you gain deeper insights from your data by exploring and unearthing patterns, trends and connections.

Open Science with Github and Zenodo

Scientists are frequently required to share the products of their funded research. Learn how to use the freely available Github platform for project management and collaboration, and connect your Github project to the open Zenodo repository to share your work, and make it citable with a permanent Digital Object Identifier (DOI). No previous experience is necessary.

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