Geospatial Analytics

Geospatial Analytics

Learn how to use the tools for geospatial analytics

About this course

Dataiku DSS provides a number of tools to assist with tasks for geospatial analytics. This includes:

  • A simple drag and drop interface for creating interactive maps
  • Visual processors for common spatial data preparation tasks, such as creating GeoPoints
  • The ability to work with various geospatial data formats, such as shapefiles
  • Integration with programming languages like Python, R and SQL for using libraries like PostGIS
  • Visual or code interface for building machine learning models, including those built on on geospatial data

The following lessons provide a hands-on introduction to many of these geospatial features in DSS.

Curriculum

  • Geospatial Analytics
  • Creating Maps in DSS without code
  • Geographic Processing with DSS
  • Working with Shapefiles and US Census Data in DSS

About this course

Dataiku DSS provides a number of tools to assist with tasks for geospatial analytics. This includes:

  • A simple drag and drop interface for creating interactive maps
  • Visual processors for common spatial data preparation tasks, such as creating GeoPoints
  • The ability to work with various geospatial data formats, such as shapefiles
  • Integration with programming languages like Python, R and SQL for using libraries like PostGIS
  • Visual or code interface for building machine learning models, including those built on on geospatial data

The following lessons provide a hands-on introduction to many of these geospatial features in DSS.

Curriculum

  • Geospatial Analytics
  • Creating Maps in DSS without code
  • Geographic Processing with DSS
  • Working with Shapefiles and US Census Data in DSS