Summary
Chapters
Video Info
Stuart Lynn, Head of Data Science, Wenfei Xu, Data Scientist, Andy Eschbacher, Map Scientist, and Dongjie Fan, of CARTO, discuss recent spatial data science projects, specifically the food truck sales project, including accessing and collection of data, challenges using the data, modelling the data, programming languages used, process and verification of the model, data storage and security, outcomes of the project, and the importance of data science in improving outcomes.
-
Chapter 1: What is CARTO and What Does it do?
icon angle down -
Chapter 2: What was CARTO's Involvement With the Food Truck Project?
icon angle down -
Chapter 3: How did You Access and Collect Your Data?
icon angle down -
Chapter 4: What Challenges did You Face With Using This Data?
icon angle down -
Chapter 5: How did You go About Modelling Your Data and What Programming Languages did You Use?
icon angle down -
Chapter 6: How would You Describe Your Process—how did You Verify the Model, and how is the Data Stored and Secured??
icon angle down -
Chapter 7: What are Some of the Outcomes of This Project?
icon angle down -
Chapter 8: How has Data Science Assisted in Finding Patterns That Drive Better Outcomes?
icon angle down