In this workshop, we will learn how to use two popular libraries from the Python programming language (matplotlib and seaborn) to visualize data. No prior experience with programming or Python is required. An email will be sent prior to the workshop with any required downloads.
Usually scheduled for every 3rd Tuesday and Wednesday of the month from 08:00 ET on the first day till 19:00 ET on the second day. 2023 anticipated maintenance schedule (all dates subject to change): JAN 24-25 (1 week late) FEB 21-22 MAR 14 -15 (1 week earlier, spring break) APR 18-19 MAY 16-17 JUN 20-21 … Read More
Are you interested in exploring and analyzing historical or cultural networks representing trade, communication, kinship relationships, or similar? In this workshop, we will use Gephi to analyze the relationships between actors and make a network graph to show our findings. No prior experience with network analysis is required.
Publishing to data repositories and creating R packages Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages … 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, queries, selections, and spatial data management. Make sure to register for an ArcGIS Online account before the … Read More
Are you interested in exploring and analyzing historical or cultural networks representing trade, communication, kinship relationships, or similar? In this workshop, we will use Gephi to analyze the relationships between actors and make a network graph to show our findings. No prior experience with network analysis is required.
This workshop will give an introduction to machine learning methods with regression. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python
This workshop will introduce the relational database as an alternative to spreadsheets. We will use the self-contained SQLite database engine, practicing with both an easy to use graphical user interface (GUI) and exploring the corresponding SQL commands. We will discuss appropriate use cases for a database engine like SQLite and how it compares to server-based … Read More
This workshop will give an introduction to machine learning methods with neural networks. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python
This workshop will give an introduction to machine learning methods with decision trees and random forests. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python