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    <event>
        <id>3772683</id>
        <event_id>979920</event_id>
        <eventinstance_id>3772683</eventinstance_id>
		<calendar>
			<id>292</id>
			<title>Sociology Events</title>
			<slug>sociology-events</slug>
			<url>https://events.ucf.edu/calendar/292/sociology-events/</url>
		</calendar>
		<title>Big Data Analytics Symposium</title>
		<subtitle></subtitle>
		<start_date>Mon, 24 Mar 2025 09:00:00 -0400</start_date>
		<end_date>Mon, 24 Mar 2025 16:30:00 -0400</end_date>
		<location>Student Union</location>
		<room>Pegasus Ballroom</room>
		<virtual_url></virtual_url>

		<address>
			<building></building>
			<city></city>
			<zipcode></zipcode>
			<state></state>
			<country>
				<id xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-1.0" codeListID="ISO3166-1" codeListAgencyID="6" codeListAgencyName="United Nations Economic Commission for Europe" codeListName="country" codeListVersionID="0.3" languageID="en" codeListURI="http://www.iso.org/iso/en/prods-services/iso3166ma/02iso-3166-code-lists/list-en1-semic.txt" codeListSchemeURI="urn:oasis:names:specification:ubl:schema:xsd:countryIdentificationCode-1.0">US</id>
				<name xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-1.0">United States</name>
			</country>
		</address>

		<location_info>
			<location_type></location_type>
			<location_hours></location_hours>
			<location_phone></location_phone>
			<location_website><![CDATA[http://map.ucf.edu/?show=52]]>
</location_website>
			<directions></directions>
			<map_link></map_link>
			<additional_public_info></additional_public_info>
		</location_info>

		<languages>
			<language>en-US</language>
		</languages>
		<event_transparency></event_transparency>

		<description><![CDATA[<p><em>The UCF Statistics and Data Science Department is pleased to present the<span>&nbsp;</span><a href="https://sciences.ucf.edu/statistics/big-data-analytics-symposium/" target="_blank">Big Data Analytics Symposium 2025</a>.<span>&nbsp;</span></em><span>This day-long series of speakers and networking opportunities connects students to industry professionals to explore the practical applications of big data and data analytics in the modern marketplace. This event reached its 12th year in 2025 and has become an integral resource for connecting UCF students with employers from companies at the top of their industry.</span></p>]]></description>
		<short_description></short_description>

		<refreshments></refreshments>
		<webpages>
			<webpage>
				<title>Event Instance url</title>
				<url>https://events.ucf.edu/event/3772683/big-data-analytics-symposium/</url>
			</webpage>
		</webpages>

		<contact_person>UCF Department of Statistics and Data Science</contact_person>
		<contact_email>cosmarketing@ucf.edu</contact_email>
		<contact_phone></contact_phone>

		<category>Workshop/Conference</category>
		<tags>
			<tag>data science</tag><tag>big data analytics</tag><tag>UCF Department of Statistics and Data Science</tag>
		</tags>
		<registration_link><![CDATA[https://foundation.ucf.edu/event-registration-pages/alumni/cos-big-data-analytics-symposium-2025]]></registration_link>
		<registration_info><![CDATA[The event will be held in an open-house format in which guests are encouraged to attend whenever their schedule permits.]]></registration_info>

		<status>Happening As Scheduled</status>
		<classification>Public</classification>
	</event>

</events>

