BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20210615T113105Z
DTSTART:20210615T120000Z
DTEND:20210615T130000Z
SUMMARY:Synthetic Data Code Demo
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}cp-ko03hsuh
 -xsrjnb
DESCRIPTION:In this free training series\, we cover the advantages and di
 sadvantages of synthetic data. We explore the variety of methods availab
 le to generate synthetic data. Finally\, we discuss the nuanced definiti
 ons comprising synthetic data itself. \n\nIn this code demo we will show
 case some data synthesis tooling. We work through a manual process of cr
 eating synthetic data in Python. We explore a web-based data generation 
 library\, Mockaroo. We replicate this dataset using a data generation li
 brary for Python called Faker. We simulate the rolling of dice and child
 ren’s shoe sizes.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
END:VEVENT
END:VCALENDAR
