Brooks Jessup, Ph.D.

Job title: 
Data Science Fellow
Department: 
History
Bio/CV: 

Brooks received his Ph.D. in History from UC Berkeley and was trained in Data Science at General Assembly. His work applies digital tools and methods to the study of modern cities and urban issues. At D-Lab, he teaches and consults on data analytics, machine learning, geospatial analysis, and natural language processing with Python and SQL.

Research interests: 

History, Urban Analytics, Digital Humanities

Role: 
Alumni

Topics

Bash or Command Line topic page, Databases & SQL topic page, Digital Humanities topic page, Excel topic page, Git or Github topic page, Machine Learning topic page, Natural Language Processing (NLP) topic page, Python topic page, QGIS topic page, Regression Analysis topic page, SQL topic page, Tableau topic page, Text Analysis topic page
J. Brooks Jessup