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METHOD:PUBLISH
X-WR-CALNAME:NWRDC
X-ORIGINAL-URL:https://www.nwrdc.net
X-WR-CALDESC:Events for NWRDC
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BEGIN:VTIMEZONE
TZID:Africa/Abidjan
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231130
DTEND;VALUE=DATE:20231201
DTSTAMP:20260525T211653
CREATED:20230623T165604Z
LAST-MODIFIED:20231130T045600Z
UID:2486-1701302400-1701388799@www.nwrdc.net
SUMMARY:Student User Forum - Online Session
DESCRIPTION:The District Contacts User Forum meets monthly to review newly released features software updates tips for using the program effectively and the opportunity to share best business practices with peers. \nTarget Audience: District WESPaC Coordinators\, persons responsible for the SIS system at the district level.
URL:https://www.nwrdc.net/event/student-user-forum-online-session-6/
CATEGORIES:Student
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231130
DTEND;VALUE=DATE:20231201
DTSTAMP:20260525T211653
CREATED:20230802T045736Z
LAST-MODIFIED:20231130T045600Z
UID:2866-1701302400-1701388799@www.nwrdc.net
SUMMARY:Data Mining Basics SMS 2.0- Online Session
DESCRIPTION:This 3-hour online workshop will focus on creating custom reports within the Data Mining module. By the end of the workshop participants will leave with an Active Student base report for cloning and other report purposes.  Time permitting\, other topics covered may include the following: how to utilize Process Lists\, create Address Labels\, create Custom Labels\, and how to order reports from Centralized Printing. \nZoom Model:  This is a (hands-on style) ZOOM session (to fully participate users should have access to two screens – one to see the presenter’s screen and a second to have a screen to work in their data\, headset with Mic or speakers and mic on the computer). To ensure you receive the maximum benefit from your attendance\, please find a quiet place while attending this session allowing you to fully participate without interruption. \nTarget Audience: Users wanting to learn about Data Mining functionality in SMS 2.0
URL:https://www.nwrdc.net/event/data-mining-basics-sms-2-0-online-session-2/
CATEGORIES:Student
END:VEVENT
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