Webinars

In this advanced session, learn how to use the Postsecondary Employment Outcomes (PSEO) data programmatically using the API and how to enrich your analyses by supplementing PSEO with other key datasets, including IPEDS survey data, U.S. Census earnings data, and cost of living indicators. This webinar is ideal for users looking to build custom workflows and perform more comprehensive, context-rich analyses using PSEO data.

The below Python scripts provide a roadmap to creating your own data pipelines using publicly available data, such as from IPEDS and the U.S. Census Bureau. The scripts are saved as Jupyter notebooks, which can be opened in any integrated development environment (IDE) that supports this format.

This script retrieves data from the IPEDS Institutional Characteristics survey and merges it with a list of participating PSEO institutions to create a crosswalk that identifies the level of a college or university (two-year vs. four-year). This script incorporates some manual logic to accommodate institutions that do not appear in IPEDS.

This script retrieves living wage data for the 12 family configurations from the MIT Living Wage Calculator by metropolitan statistical area (MSA). The script converts hourly wages to annual wages for ease of analysis.

This script retrieves living wage data for the 12 family configurations from the MIT Living Wage Calculator by metropolitan statistical area (MSA). The script converts hourly wages to annual wages for ease of analysis.

This script retrieves the median annual earnings of high school graduates by state from the American Community Survey (ACS) dataset published by the U.S. Census Bureau.

NOTE: Requires a U.S. Census Bureau API Key to run.

This script retrieves the complete PSEO earnings data set starting with the CSV file as a base. The script merges the base data with labels provided by the U.S. Census Bureau to mirror the file available on the PSEO Explorer page.

This script outlines how to use the U.S. Census Bureau API to retrieve PSEO earnings data. The script walks the user through building increasingly complex data sets using filters to restrict the data returned.

NOTE: Requires a U.S. Census Bureau API Key to run.

Take the next step with the Postsecondary Employment Outcomes (PSEO) data by exploring how to apply it in real-world analysis. This webinar will cover how to begin working with PSEO data in tools like Python, Tableau, and Power BI to answer common research questions. We’ll also discuss important data nuances – such as the cohort model and how PSEO differs from other federal datasets – to help you work with the data effectively and responsibly.

This is a Python Jupyter notebook file that downloads and prepares the PSEO earnings dataset (all states). The script has an introduction at the start and documentation built in that explains what each step does. This file can be opened and modified in an integrated development environment (IDE) such as Anaconda or VS Code.

Learn how to explore and use the Postsecondary Employment Outcomes (PSEO) Explorer tool to access valuable data on student outcomes. This webinar will introduce the dataset, explain how institutional and U.S. Census Bureau data are integrated, and walk participants through downloading data in multiple formats. It’s ideal for institutional researchers, state agency staff, and anyone interested in higher education data.

Thank you to everyone who joined us for the Virtual Showcase! View the recordings and download the accompanying slides: