This online workshop will provide a beginning level introduction to computer programming using Python, a popular general-purpose programming language. No prior programming knowledge is required. We will present Python syntax, assigning variables, data types, and conditional statements. We will make use of replit.com, a browser-based tool for coding.
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will focus on the open source geographic information system: QGIS3. We will explore the interface, add and visualize data, create a map layout, explore plugins and support. Previous knowledge … Read More
This session introduces the R statistical software environment, basic methods of data analysis, and the "tidyverse." While R is much more than the tidyverse, the development of the tidyverse packages, led by RStudio, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent … Read More
This workshop is designed for beginners with little to no experience in programming, aiming to provide a rapid yet comprehensive introduction to the world of Python, one of the most popular and versatile programming languages today. Learners will quickly grasp Python syntax, script execution, and fundamental constructs like variables, data types, and operators. They will … Read More
Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. Workshop content: This short course helps everyone make those first few steps toward productively using a Linux cluster for research — all members of the Rutgers community have free access to the Amarel Cluster. … Read More
This online workshop will present a beginning level introduction to iteration, lists, and subroutines in Python, building on our Introduction to Python-1. No programming experience is necessary. Attendance at the previous Python-1 workshop is not required. We will make use of replit.com, a browser based tool for coding.
This workshop reviews statistical tests, sampling, bootstrap, and more + comparison with Python.
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will work through various GIS data tools including data table join operations and spatial data management analyses. Make sure to register for an ArcGIS Online account before the start … Read More
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will work through various GIS data tools including data table join operations and spatial data management analyses. Make sure to register for an ArcGIS Online account before the start … Read More
This workshop is designed to equip learners with powerful tools for data analysis in Python. Participants will delve into the world of NumPy, exploring its efficient arrays and array operations, which form the backbone of numerical computing in Python. The workshop then shifts to Pandas, where learners will get hands-on experience with its fundamental data … Read More
Location can play an important part in your research. "Everything happens somewhere..." In this short, interactive workshop, we'll learn about spatial data, explore GIS (geographic information systems) data resources and search strategies, review critical data literacy and attribution information, and discuss building spatial datasets.
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.
This workshop is designed to guide participants through the process of revealing hidden stories in data using Python. It focuses on using Matplotlib and Seaborn, two prominent visualization tools, for effective exploratory data analysis (EDA). This workshop emphasizes the creation of engaging visual narratives, enabling participants to transform complex data insights into compelling and understandable … Read More
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More
Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. Make sure to register for … Read More
This workshop offers an introduction to the fundamentals of deep learning, a highly influential branch of artificial intelligence. This session focuses on the core concepts of neural networks, including feedforward neural networks, the simplest type of artificial neural network architecture. The course also covers convolutional neural networks (CNNs), essential for image and video recognition, and … Read More
This workshop offers a brief yet comprehensive overview of essential mathematics for data science. It covers foundational statistics and probability, crucial for model understanding, and basic hypothesis testing techniques. It also introduces linear algebra concepts like vectors and matrices, alongside fundamental calculus for derivatives and integrals.