Analyzing US Census Data in Python

By the end of the course, you will be able to find, manipulate and visualize US Census data using Python, calculate Margins of Error and the Index of Dissimilarity, and create choropleth maps with geopandas.

Upon completion of the course, you will receive a certificate of completion that demonstrates further your commitment to deepening your data science skills.

Data professionals in diverse fields such as marketing, public health and civic hacking would benefit from the skills gained from completing this course. Knowledge of analyzing US Census Data would also be invaluable for data scientists, data analysts, data engineers and other roles related to data science.

Yes, the Decennial Census and the annual American Community Survey data can be accessed easily using the Census API and the requests package - both of which are covered in this course.

This course covers topics such as health insurance coverage, gentrification, unemployment by race, commuting patterns, worker density, immigration and state-to-state population flows, and rent burden.

No prior knowledge of the Census is needed - the course walks you through the basics of the Census and Census data products.