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DTSTART:19700101T000000
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BEGIN:VEVENT
SUMMARY:Calendly Hands-on Workshop
LOCATION:LKCSB Seminar Room 3-2
DTSTART;TZID=Asia/Singapore:20260701T090000
DTEND;TZID=Asia/Singapore:20260701T110000
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 p\;date=2026-07-01" target="_blank" rel="noopener">Join us here!</a>
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 ty &amp\; Staff
DTSTAMP:20260618T152520Z
DESCRIPTION:&#x1F4C5\; Learn how to use Calendly effectively for appoint
 ment scheduling and meeting coordination.<br>&#x1F6E0\;&#65039\; Explore
  key features\, setup tips\, availability settings\, and workflow best p
 ractices through hands-on activities.<br>&#x1F91D\;Participate in intera
 ctive exercises using practical SMU scheduling scenarios.<br>&#x1F680\;D
 iscover how Calendly can help simplify collaboration\, improve productiv
 ity\, and create a smoother scheduling experience for both staff and stu
 dents.
CATEGORIES:DSP
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X-TRUMBA-LINK:https://www.trumba.com/calendars/smu_iits_dsp?eventid=2047
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BEGIN:VEVENT
SUMMARY:Power BI 101 [PBI]
LOCATION:SOE/SCIS2 Seminar Room B1-1
DTSTART;TZID=Asia/Singapore:20260722T090000
DTEND;TZID=Asia/Singapore:20260722T170000
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 rkshop is designed to equip participants with the foundational skills ne
 eded to confidently navigate and use Power BI. By the end of the session
 \, attendees will understand the core components of Power BI\, including
  how to connect to data sources\, build interactive reports\, and create
  basic visualizations. Participants will gain hands-on experience in tra
 nsforming raw data into meaningful insights\, setting the stage for more
  advanced data analysis and reporting capabilities in the future.&#160\;
 <br><br><strong>Power BI Ecosystem:</strong><br><br>Learn about Power BI
  Desktop\, Power BI Service\, and Power BI Mobile App.<br><br><strong>Co
 nnecting &amp\; Importing Data:</strong><br><br>Learn how to load data f
 rom online services like SharePoint.<br><br><strong>Data Cleaning &amp\;
  Shaping:</strong><br><br>Learn data preparation using Power Query to en
 sure it is analysis ready.<br><br><strong>Building Data Relationships:</
 strong><br><br>Learn to create and manage table relationships for better
  data visualization.<br><br><strong>Designing Interactive Visuals:</stro
 ng><br><br>Create dashboards with charts and slicers to visualize data.<
 br>Publishing &amp\; Sharing:<br>Publish reports to Power BI Service\, l
 earn how to automate report refresh and share with the end users<br><br>
 Disclaimer:<ul> <li><em>This is a hands-on workshop. Please attend only 
 if you can be fully present for the entire session. Leaving partway for 
 meetings or other commitments will disrupt the learning flow\, and it ma
 y be difficult to catch up.</em>	</li><li><em>As this is a limited-capac
 ity workshop\, we ask that you take your registration seriously and ensu
 re your availability in advance.</em>	</li><li><em>Last-minute withdrawa
 ls and no-shows are strongly discouraged. Individuals who are absent or 
 withdraw late without valid reasons may be tracked and de-prioritised fo
 r future workshop enrolments.</em>	</li><li><em>If you are unable to att
 end due to unforeseen circumstances\, please email <a href="mailto:datal
 iteracy@smu.edu.sg" target="_blank" rel="noopener">dataliteracy@smu.edu.
 sg</a>&#160\;at least 4 working days in advance. If absent due to medica
 l reasons\, furnish medical certificate.</em></li></ul>
X-TRUMBA-CUSTOMFIELD;NAME="RSVP";ID=37849;TYPE=MultiLine:<a href="https:
 //eventregistration.smu.edu.sg/lYNBGv" target="_blank" rel="noopener">Jo
 in us here!</a>
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X-TRUMBA-CUSTOMFIELD;NAME="Audience";ID=36048;TYPE=CustomAsset:SMU Facul
 ty &amp\; Staff
DTSTAMP:20260622T173011Z
DESCRIPTION:This&#160\;workshop is designed to equip participants with t
 he foundational skills needed to confidently navigate and use Power BI. 
 By the end of the session\, attendees will understand the core component
 s of Power BI\, including how to connect to data sources\, build interac
 tive reports\, and create basic visualizations. Participants will gain h
 ands-on experience in transforming raw data into meaningful insights\, s
 etting the stage for more advanced data analysis and reporting capabilit
 ies in the future.&#160\;
CATEGORIES:DSP
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