BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Registration is required\, visit RSVP link above for more even
 t information. Are you ready to take the first steps in using code to wor
 k with data? In this training\, you’ll learn how to use Python\, one of t
 he most popular programming languages\, to analyze and visualize data. Th
 is training welcomes first-time coders and Python beginners\, so we’ll be
 gin with Python programming fundamentals before moving on to the basics o
 f data analysis and visualization. Learning outcomes: In this 2-hour in-p
 erson session\, you'll learn how to: Describe and use basic Python concep
 ts (e.g.\, strings\, integers\, printing\, variables\, lists\, dictionari
 es\, loops\, conditional logic\, etc.) Handle mistakes in coding Use add-
 on modules (i.e.\, import libraries) for Python\, including numpy and mat
 plotlib. Read data into Python Perform basic statistical operations on da
 ta Create basic plots from data What to know about this session: This tra
 ining will be hands-on\; come ready to code alongside the instructor. You
  will only need a google/gmail account as we will use the https://colab.r
 esearch.google.com/ environment. 🏆Eligible for 2 CME credits\n\nSpeaker:
 \nLevi Dolan\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.e
 du/event/getting-started-with-data-analysis-and-visualization-introductio
 n-to-python-11-11/\n
DTEND;TZID=America/New_York:20261111T110000
DTSTAMP:20261030T202720Z
DTSTART;TZID=America/New_York:20261111T090000
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Getting Started with Data Analysis & Visualization: Introduction t
 o Python (Python 1)
UID:307ee5fb-6e16-4ed8-a458-b49d38b63ab5
END:VEVENT
END:VCALENDAR
