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Tuesday, October 30 • 9:30am - 10:00am
Data Analysis/Visualization Track. Exploring Jupyter: Bridging the Gap Between GIS and Data Science

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AUTHORS: Mark Zito, CDM Smith

ABSTRACT: Geospatial Analysis can be considered a subset of Data Science. To consider yourself a data scientist, you need to be skilled at programming, data visualization, statistics, machine learning, linear algebra and data wrangling. You also need to know the tools that make all this possible and Python and Jupyter notebooks are leading the pack. Through Esri’s ArcGIS API for Python, Jupyter notebooks are now baked into your desktop software package. In this talk, we will cover the basics of using the notebook with your organizations GIS data and even explore some machine learning models that push the boundaries of what you can do in GIS. You may be asking, why Jupyter notebooks? These notebooks allow you to create and share with live code, markdown text, visualizations including maps, statistical models and more. They are all the rage in the data science community and offer a simple way to share and document your code.

Tuesday October 30, 2018 9:30am - 10:00am
Broadway 3

Attendees (2)