Data Analysis 2 (statistical tests, sampling, bootstrap, and more + comparison with Python)
This workshop reviews statistical tests, sampling, bootstrap, and more + comparison with Python.
Office of Advanced Research Computing
A Rutgers IT Service
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GIS Joins, Queries and Data Management Tools using ArcGIS Online
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 … Read More
GIS Joins, Queries and Data Management Tools using ArcGIS Pro
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 … Read More
Mastering data analysis: Pandas and NumPy essentials
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, … Read More
Love Data Week! Finding, Creating and Working with GIS Data
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 … Read More
R graphics with ggplot2
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 … Read More
Love Data Week! Unveiling Data Stories: Python for Visualization and Exploration
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 … Read More
ArcGIS StoryMaps, WebApps and Dashboards
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 … Read More
R data wrangling with dplyr, tidyr, readr, and 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 … Read More
Mathematical foundations for data science
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 … Read More