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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180827
DTEND;VALUE=DATE:20180828
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SUMMARY:Big Data Analytics Hands-on Workshop in Auckland
DESCRIPTION:Facilitated by leading scholars and industry professionals\, this hands-on workshop includes lectures\, tutorials\, group problem solving\, and discussions on creating value with big data analytics. The workshop discusses both structural ( such as sales and financial) and nonstructural data (e.g.\, tweets and networks) theories\, tools\, techniques\, and strategies. No coding or prior analytics experience required.\n\nWhat is Covered?\n\nThe workshop covers theory and practice of:\n\n\n	Business Analytics\n	Social Media Analytics\n	Location Analytics\n	Marketing Analytics\n	Network Analytics\n	Financial Analytics\n	Search Engine Analytics\n	Text Analytics\n	Analytics-Business Alignment\n	Big Data Security & Privacy\n\nWho: Academics\, students\, researchers\, business owners\, managers\, executives\, and consultants\, etc.\n\nSeats: Seats are limited. First come\, first serve basis.\n\nLayout: Round-table sessions followed by Hands-on exercises. Please bring your own device.\n\nAtmosphere: Warm\, friendly\, and collegial!
X-ALT-DESC;FMTTYPE=text/html:<p>Facilitated by leading scholars and industry professionals\, t<a href="https://sites.google.com/view/business-analytics-workshop/home" rel="undefined" style="margin: 0px\; padding: 0px\; border: 0px\; outline: 0px\; vertical-align: baseline\; background: 0px 0px\; text-decoration-line: none\; color: inherit\;" target="_blank">his hands-on workshop</a>&nbsp\;includes lectures\, tutorials\, group problem solving\, and discussions on creating value with big data analytics. The workshop discusses both structural ( such as sales and financial) and nonstructural data (e.g.\, tweets and networks) theories\, tools\, techniques\, and strategies.&nbsp\;<strong>No coding or prior analytics experience required.</strong></p>\n\n<p><strong>What is Covered?</strong></p>\n\n<p>The workshop covers theory and practice of:</p>\n\n<ul>\n	<li>Business Analytics</li>\n	<li>Social Media Analytics</li>\n	<li>Location Analytics</li>\n	<li>Marketing Analytics</li>\n	<li>Network Analytics</li>\n	<li>Financial Analytics</li>\n	<li>Search Engine Analytics</li>\n	<li>Text Analytics</li>\n	<li>Analytics-Business Alignment</li>\n	<li>Big Data Security &amp\; Privacy</li>\n</ul>\n<strong>Who</strong>: Academics\, students\, researchers\, business owners\, managers\, executives\, and consultants\, etc.<br />\n<strong>Seats</strong>:&nbsp\;Seats are limited. First come\, first serve basis.<br />\n<strong>Layout</strong>:&nbsp\;Round-table sessions followed by Hands-on exercises. Please bring your own device.<br />\n<strong>Atmosphere</strong>: Warm\, friendly\, and collegial!\n\n<p>&nbsp\;</p>\n
LOCATION:The Auckland University of Technology\, City Campus\, Auckland\, New Zealand.
UID:e.2751.1256
SEQUENCE:3
DTSTAMP:20260423T033609Z
URL:https://business.waikatochamber.co.nz/events/details/big-data-analytics-hands-on-workshop-in-auckland-1256
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