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BEGIN:VEVENT
DTSTAMP:20260813T192802Z
DTSTART;TZID=America/Los_Angeles:20260923T050000
DTEND;TZID=America/Los_Angeles:20261104T233000
SUMMARY:Spatial Data Science: The New Frontier in Analytics (Esri's Massive
  Open Online Course)
LAST-MODIFIED:20260813T192802Z
LOCATION:Online at Esri Academy
TZID:America/Los_Angeles
UID:message-327
DESCRIPTION:Click the link below to go to the event page:\nhttps://communit
 y.esri.com/t5/education-events/spatial-data-science-the-new-frontier-in-an
 alytics/ec-p/1720029#M327\n\nUse location to find patterns and tackle comp
 lex problems. Learn how spatial data science helps analysts uncover deeper
  insights by applying advanced spatial analytics\, machine learning\, and 
 deep learning techniques. This course examines how to identify hidden patt
 erns and improve predictive modeling using spatial data. You’ll gain hands
 -on experience with analytical tools in ArcGIS and learn how to integrate 
 widely used open data science packages to enhance your workflows and creat
 e more powerful\, data‑driven analyses.    Course Details  Duration: 6 wee
 ks (2-3 hours of study per week) When: September 23 - November 4\, 2026 Co
 st: $0 (No-cost)   Register Today →    Goals  Understand how spatial data 
 science helps uncover hidden patterns. Use ArcGIS data engineering methods
  and visualization tools to prepare data for spatial analysis. Gain hands-
 on experience performing suitability analysis\, predictive modeling\, spac
 e-time pattern mining\, and object detection. Communicate analysis results
  and insights using engaging and compelling ArcGIS StoryMaps.  Register by
  Oct. 8 →      The course includes:  ArcGIS Pro\, ArcGIS Online\, ArcGIS N
 otebooks\, ArcGIS Spatial Analyst\, and ArcGIS Image Analyst software Step
 -by-step exercises\, videos by Esri experts\, quizzes\, and discussion Reg
 istration closes October 8\, 2026\, at 11:59 p.m. (Pacific time)
X-ALT-DESC;FMTTYPE=text/html:<P>Click the link below to go to the event pag
 e:</P><BR><A href="https://community.esri.com/t5/education-events/spatial-
 data-science-the-new-frontier-in-analytics/ec-p/1720029#M327">https://comm
 unity.esri.com/t5/education-events/spatial-data-science-the-new-frontier-i
 n-analytics/ec-p/1720029#M327</A><BR><BR><DIV><H4 id="toc-hId--541779787">
 <A href="https://link.esri.com/701UU00000ZXAvhYAH/ZnmIydr" target="_blank"
  rel="noopener nofollow noreferrer"><span class="lia-inline-image-display-
 wrapper lia-image-align-inline" image-alt="spatial-data-science-mooc-1200x
 257-2a.jpg" style="width: 999px\;"><img src="https://community.esri.com/t5
 /image/serverpage/image-id/156618iC892FA7396346780/image-size/large?v=v2&a
 mp\;px=999" role="button" title="spatial-data-science-mooc-1200x257-2a.jpg
 " alt="spatial-data-science-mooc-1200x257-2a.jpg" /></span></A></H4><H4 id
 ="toc-hId-1945733046"><FONT size="5"><STRONG>Use location to find patterns
  and tackle complex problems.</STRONG></FONT></H4></DIV><DIV>Learn how spa
 tial data science helps analysts uncover deeper insights by applying advan
 ced spatial analytics\, machine learning\, and deep learning techniques. T
 his course examines how to identify hidden patterns and improve predictive
  modeling using spatial data. You’ll gain hands-on experience with analyti
 cal tools in ArcGIS and learn how to integrate widely used open data scien
 ce packages to enhance your workflows and create more powerful\, data‑driv
 en analyses.</DIV><DIV>&nbsp\;</DIV><DIV><P><FONT size="5"><STRONG>Course 
 Details</STRONG></FONT></P><UL><LI><STRONG>Duration:&nbsp\;</STRONG>6 week
 s (2-3 hours of study per week)</LI><LI><STRONG>When:&nbsp\;</STRONG>Septe
 mber 23 - November 4\, 2026</LI><LI><STRONG>Cost:</STRONG><SPAN>&nbsp\;</S
 PAN>$0 (No-cost)</LI></UL><P>&nbsp\;</P><P data-unlink="true"><SPAN><STRON
 G><FONT size="6"><A href="https://link.esri.com/701UU00000ZXAvhYAH/ZnmIydr
 " target="_blank" rel="nofollow noopener noreferrer">Register Today →</A>&
 nbsp\;</FONT></STRONG><BR /><BR /></SPAN></P><P><FONT size="5"><STRONG>Goa
 ls</STRONG></FONT></P><UL><LI><SPAN><STRONG>Understand</STRONG>&nbsp\;how 
 spatial data science helps uncover hidden patterns.</SPAN></LI><LI><SPAN><
 STRONG>Use</STRONG>&nbsp\;ArcGIS data engineering methods and visualizatio
 n tools to prepare data for spatial analysis.</SPAN></LI><LI><SPAN><STRONG
 >Gain</STRONG>&nbsp\;hands-on experience performing suitability analysis\,
  predictive modeling\, space-time pattern mining\, and object detection.</
 SPAN></LI><LI><SPAN><STRONG>Communicate</STRONG>&nbsp\;analysis results an
 d insights using engaging and compelling ArcGIS StoryMaps.</SPAN></LI></UL
 ><P>&nbsp\;</P><STRONG><A href="https://link.esri.com/701UU00000ZXAvhYAH/Z
 nmIydr" target="_blank" rel="nofollow noopener noreferrer"><FONT size="6">
 Register by Oct. 8 →</FONT></A>&nbsp\;</STRONG><BR /><P>&nbsp\;</P><P>&nbs
 p\;The course includes:</P><UL><LI><SPAN>ArcGIS Pro\, ArcGIS Online\, ArcG
 IS Notebooks\, ArcGIS Spatial Analyst\, and ArcGIS Image Analyst software<
 /SPAN></LI><LI>Step-by-step exercises\, videos by Esri experts\, quizzes\,
  and discussion</LI></UL><P><EM>Registration closes October 8\, 2026\, at 
 11:59 p.m. (Pacific time)</EM></P></DIV>
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