I recommend doing this ESRI course if you want to learn some cool things about spatial analysis without much load. Even just doing some of it will help you understand a lot about the newest way of applying spatial analysis concepts. Dear Colleagues, If you, or your students, are interested in learning more about spatial analysis, machine learning/deep learning, predictive modeling, object detection, and more, there is a free 6-week Esri MOOC on Spatial Data Science beginning on February 26th, 2020. Spatial Data Science: The New Frontier in Analytics Spatial data science allows analysts to extract deeper insight from data using a comprehensive set of analytical methods and spatial algorithms, including machine learning and deep learning techniques. This course explores the application of spatial data science to uncover hidden patterns and improve predictive modeling. You'll work with powerful analytical tools in Esri's ArcGIS software and learn how to integrate popular open data science packages into your analyses. If you wish to register for the course, you can do so here< https://nam03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.esri.com%2Ftraining%2Fcatalog%2F5d76dcf7e9ccda09bef61294%2Fspatial-data-science%253A-the-new-frontier-in-analytics%2F&data=02%7C01%7C%7C4e2aa93a5ed7455a6d9b08d7a45e97a1%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637158598481408585&sdata=94tCJuV2D1ktHt%2FxcVIK%2B2KUJrwqeHDB9xEzECJipCs%3D&reserved=0 >. Geri Miller | Education Sector Director | Global Business Development Esri | 1325 Morris Drive, Suite 201 | Chesterbrook, PA 19087 | USA T 610 644 3374 x5929 | M 215 817 6241 | geri_miller at esri.com <mailto: geri_miller at esri.com > | esri.com THE SCIENCE OF WHERE (r) ________________________________ To unsubscribe from the HIGHERED-L list, click the following link: http://atlantis.esri.com/scripts/wa-ATLANTIS.exe?SUBED1=HIGHERED-L&A=1<https://nam03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fatlantis.esri.com%2Fscripts%2Fwa-ATLANTIS.exe%3FSUBED1%3DHIGHERED-L%26A%3D1&data=02%7C01%7C%7C4e2aa93a5ed7455a6d9b08d7a45e97a1%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637158598481418582&sdata=WqeVMnJfCKCTGt4Jv1TozIXSLx6KRfccdg9y60XTGCI%3D&reserved=0 > -------------- next part -------------- An HTML attachment was scrubbed... URL: < http://listserv.ohio.edu/pipermail/geog_jobs/attachments/20200129/bd3765f2/attachment.html >
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