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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20251201T070304Z
UID:7059114B-6370-4603-8482-4CA47DC590AC
DTSTART;TZID=Asia/Kolkata:20260221T090000
DTEND;TZID=Asia/Kolkata:20260221T172000
DESCRIPTION:DataWIE 2026 is a one-day\, in-person technical event organized
  by IEEE Women in Engineering (WIE)\, Madras Section\, focused on equippin
 g participants with modern data tools and strengthening their skills in da
 ta science\, analytics\, and AI. The event\, themed “Shaping Tomorrow wi
 th Data-Driven Minds\,” aims to bridge the gap between academic learning
  and industry expectations through practical\, hands-on exposure. Core act
 ivities include a Workshop on Data Visualization with Tableau\, an Interac
 tive Session on Building a Predictive Model\, and a competitive Data Scien
 ce Challenge that provides participants with real-world data experience si
 milar to what professionals handle in industry settings. The program also 
 features a Keynote Address and a Panel Discussion to offer insights on dat
 a-driven leadership\, emerging trends\, and career pathways within the dat
 a ecosystem. Overall\, the activity is designed to build foundational and 
 intermediate data competencies\, promote meaningful engagement between aca
 demia and industry\, and contribute to developing a future-ready data work
 force in the region.\n\nSpeaker(s): Arun\, Abinayaa\, Indhu\, Prathibha\n\
 nChennai\, Tamil Nadu\, India
LOCATION:Chennai\, Tamil Nadu\, India
ORGANIZER:ieeemaswie@gmail.com
SEQUENCE:56
SUMMARY:DataWIE 2026 - Shaping Tomorrow with Data-Driven Minds
URL;VALUE=URI:https://events.vtools.ieee.org/m/519058
X-ALT-DESC:Description: <br /><p data-start="157" data-end="1261"><strong>D
 ataWIE 2026 </strong>is a one-day\, in-person technical event organized by
  <strong>IEEE Women in Engineering (WIE)\, Madras Section</strong>\, focus
 ed on equipping participants with <strong>modern data tools </strong>and s
 trengthening their skills in <strong>data science\, analytics\, and AI</st
 rong>. The event\, themed &ldquo\;<strong>Shaping Tomorrow with Data-Drive
 n Minds</strong>\,&rdquo\; aims to bridge the gap between academic learnin
 g and industry expectations through practical\, hands-on exposure. Core ac
 tivities include a <strong>Workshop on Data Visualization with Tableau</st
 rong>\, an Interactive Session on <strong>Building a Predictive Model</str
 ong>\, and a competitive<strong> Data Science Challenge</strong> that prov
 ides participants with real-world data experience similar to what professi
 onals handle in industry settings. The program also features a Keynote Add
 ress and a Panel Discussion to offer insights on data-driven leadership\, 
 emerging trends\, and career pathways within the data ecosystem. Overall\,
  the activity is designed to build foundational and intermediate data comp
 etencies\, promote meaningful engagement between academia and industry\, a
 nd contribute to developing a future-ready data workforce in the region.</
 p>
END:VEVENT
END:VCALENDAR