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Graduate Specialist Program (New Brunswick Libraries): Workshops -
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Spring 2020 Workshop Master Schedule

Spring 2020 workshop master schedule sorted by date (For workshops grouped by topic, click here).

These are the post-Spring Break workshops, offered via Webex due to the COVID-19 situation. Webex links to workshops will be made available as they are created.  Please register for workshops of interest to receive updated information and reminders.

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!  

 

Python Basics and Data Exploration (Accelerated 1)

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

Python Basics and Data Exploration (Beginners 1)

  • Tuesday, March 24, 1:10 pm - 2:30 pm, Recording of Session (4 parts - OneTwoThreeFour (Instructor, Sly Zhong)

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.

Cryptocurrency API, Visualization, and Comparison project

  • Tuesday, March 24, 2:50 pm - 4:10 pm, Webex Conference (Instructor, Sly Zhong)
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. A real-time cryptocurrency interactive API will also be introduced in this workshop.
 

Introduction to SAS

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.

R for data analysis: a tidyverse approach

  • Thursday, March 26 – 2:00-3:30 pm, Webex conference  (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.

Introduction to Scalar

  • Thursday, March 26, 4:30-6:00 pm, Webex - link to be posted (Instructor: Caterina Agostini)

In this workshop, we will introduce the use of Scalar, a web publishing platform for digital scholarship which supports individual and collaborative projects featuring tagging functionalities, analysis and annotation of images, maps, audio and video files, as well as visualizations.

Data Manipulation and Analysis with Python (Accelerated 2)

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 Manipulation and Analysis with Python (Beginners 2)

  • Tuesday, March 31, 1:10 pm - 2:30 pm, WebEx Conference  (Instructor, Sly Zhong)

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.

Statistical Hypothesis Tests - Basic Concepts and Implementation 

  • Tuesday, March 31, 2:50 pm - 4:10 pmWebex Conference (Instructor, Sly Zhong)

This workshop delves into a wider variety of basic and most commonly used statistical tests including Null Hypothesis Testing, Critical Value, p-value, Z-test, T-test and Chi-Square Test etc. We will also introduce some examples about how to implement those tests with given database. 

 

Editing in QGIS

  • Wednesday, April 1, 1:30-3:30 pm, attend via Webex - details below

Learn about the advanced editing toolbar in QGIS. This workshop will show you how to use advanced editing tools to improve the accuracy of your layers, and digitize data more efficiently. Tools that we will talk about in this workshop will not only help you create new GIS layers, but will also help you correct existing GIS layers. We will learn more about digitizing through a hands-on exercise in class.

Webex Meeting information:

Meeting number: 791 763 321
Password: WktDmbMv543
https://rutgers.webex.com/rutgers/j.php?MTID=m5f03676ef3baa67c0fcb529168f6bc89

Join by video system
Dial 791763321@rutgers.webex.com
You can also dial 173.243.2.68 and enter your meeting number.

Please register to attend at https://tinyurl.com/GIS-LSM

R graphics with ggplot2 

  • Thursday, April 2 – 12:00-1:30 pm, Webex conference  (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.  

R data wrangling with dplyr, tidyr, readr and more

  • Thursday, April 2 – 2:00-3:30 pm, Webex conference  (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.

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.

Data Visualization and Machine Learning with Python (Accelerated 3)

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.

Data Visualization (Beginners 3)

  • Thursday, April 7, 1:10 pm - 2:30 pm, WebEx Conference  (Instructor, Sly Zhong)

This workshop will continue with Numpy and Panda libraries. Data visualization with matplotlib, a popular plotting library in Python, will also be covered. Turn data into line, bar, scatter plots etc. Environmental Science and Economics data will be used and examples.scikit-learn library. We'll also learn how to do data visualization with matplotlib, a popular plotting library in Python.

Intro to Tableau 1

  • Tuesday, April 7, 2:50 pm - 4:10 pmWebex Conference (Instructor, Sly Zhong)

The workshop will introduce the basics of using Tableau for Data Visualization. Design principles of quantitative and qualitive presenting and meaningful display methods. 

 

Using Palladio for Mapping

  • Thursday, April 9, 9:30-11:00 am, Webex - link to be posted (Instructor: Caterina Agostini)

Palladio is a web-based tool for investigating and visualizing multi-dimensional data. In this workshop, we will learn to visualize humanistic research data on a map, and track connections between data points.

Statistical Inference with Python

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.

 

Data Science with Python, part 1

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. 

 

Exercise and Practice in Python (Beginner 4)

  • Tuesday, April 14, 1:10 pm - 2:30 pmWebEx Conference (Instructor, Sly Zhong)

This workshop will go over some exercises and practice questions using Python for beginners. If you’re starting out with Python, this workshop is a good way to test your knowledge and learn how to make some small programs. 

Intro to Tableau 2

  • Tuesday, April 14, 2:50 pm - 4:10 pm, Webex Conference (Instructor, Sly Zhong)

More Tableau functions and data visualization options will be covered in this workshop. 

 

R for interactivity: an introduction to Shiny

  • Thursday, April 16 – 12:00-1:30 pm, Webex conference  (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.

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

  • Thursday, April 16 – 2:00-3:30 pm, Webex conference  (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.

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.

Data Science with Python, part 2

 

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.

 

Neural Networks

This workshop describe Neural Network techniques for data analysis.

 

Interaction with API in Economics

 

  • Tuesday, April 21, 1:10 pm - 2:30 pmWebEx Conference (Instructor, Sly Zhong)

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.

 

Statistical Hypothesis Tests in Python/SAS/R

  • Tuesday, April 21, 2:50 pm - 4:10 pm, Webex Conference (Instructor, Sly Zhong)

This workshop will introduce how to run most commonly used statistical tests in different programming languages including Python and R and show comparison of each of the languages. 

Word Vectors and Text Analysis

  • Thursday, April 23, 4:30-6:00 pm, Webex - link to be posted (Instructor: Caterina Agostini)

This workshop introduces the Women Writers Vector Toolkit, an interface that allows researchers to conduct word vector analyses on texts already available in the Women Writers Project (works authored by women from 1400 to 1850). Word embedding models are a type of text analysis used to explore larger thematic questions about extensive collections of texts. Through this method, computational tools display spatial analogies, thus representing relationships between words.

 

Using Palladio for Mapping

  • Monday, April 27, 4:30-6:00 pm, Webex - link to be posted (Instructor: Caterina Agostini)

Palladio is a web-based tool for investigating and visualizing multi-dimensional data. In this workshop, we will learn to visualize humanistic research data on a map, and track connections between data points.

Word Vectors and Text Analysis

  • Wednesday, April 29, 9:30-11:00 am, Webex - link to be posted (Instructor: Caterina Agostini)

This workshop introduces the Women Writers Vector Toolkit, an interface that allows researchers to conduct word vector analyses on texts already available in the Women Writers Project (works authored by women from 1400 to 1850). Word embedding models are a type of text analysis used to explore larger thematic questions about extensive collections of texts. Through this method, computational tools display spatial analogies, thus representing relationships between words.

 

☞ RSVP for any/all of the Python workshops.

 

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