Spatial SQL with Postgres : A language for geographers

Online Course

Udemy
Spatial SQL with Postgres : A language for geographers

What is the course about?

Spatial SQL with Postgres : A language for geographers
The course Spatial SQL with Postgres : A language for geographers is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

learning spatial SQL and GIS with Postgresql and PostGIS for performing sophistical data analytics and data mining

Course description
  • Spatial SQL with Postgres : A language for geographers
  • use SQL to manage spatial data
  • create advanced spatial analysis tools in SQL
  • replicate many traditional GIS tasks (overlay, buffer, etc.) using SQL
  • understand and manage traditional and spatial indexes
  • Students should have PostGRES and PostGIS installed, but if you don’t there is an lesson on installation
  • Students should have some familiarity with GIS, and having experience in QGIS is very helpful
  • 4 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Arthur Lembo

Prerequisites & Facts

Spatial SQL with Postgres : A language for geographers

Course Topic

Development, ECMAscript, Web Development

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Spatial SQL with Postgres : A language for geographers

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Spatial SQL with Postgres : A language for geographers
provided by Udemy

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School: Udemy
Topic: Business, Data Analytics, SQL