BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Open Data Science with Python: Part 5 - Exploratory Data Visua
 lization
X-WR-TIMEZONE:Mountain Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20261017T085308Z
UID:tag:localist.com\,2008:EventInstance_42235890207815
DTSTART:20230314T191500Z
DTEND:20230314T204500Z
DESCRIPTION:In this six-part series we will explore open data\, how to obta
 in it\, how to explore\, change\, manipulate and visual it. How to deal wi
 th Big data\, working with hundreds to thousands of files including higher
  performance methods. Finally a quick dive into open AI methods for extrac
 ting\, summarizing and even create synthetic data using AI.\n\n2/14 Part 1
  - Python Fundamentals\n2/21 Part 2 - Obtaining and Working with Data Part
  1\n2/28 Part 3 - Working with Data 2\n3/7 Part 4 - Working with Large Dat
 a\, Multiple Files and High(er) Performance Processing\n3/14 Part 5 - Expl
 oratory Data Visualization\n3/21 Part 6 - Open AI for Open Data\n\nPrerequ
 isites: A computer with Python 3.7 or higher and Jupyter Lab/Notebooks ins
 talled. Many other packages will be used with a list for each week prior t
 o the session as well as the ability to install them directly from the mat
 erials provided. I will show a few things which rely on Python 3.10 and hi
 gher\, but this is not required. Information on installing Python for new 
 users will be provided prior to the start of the series.
GEO:40.008766;-105.2709
LOCATION:Norlin Library\, E206
SUMMARY:Open Data Science with Python: Part 5 - Exploratory Data Visualizat
 ion
URL;VALUE=URI:https://calendar.colorado.edu/event/open_data_science_with_py
 thon_part_5_-_exploratory_data_visualization
CATEGORIES:Workshop/Training
END:VEVENT
END:VCALENDAR