NIMDE DATA

 

Geographical Information Systems (GIS) represent a technological breakthrough in organizing and displaying spatial information that promotes better decision-making by scientists, public officials, and communities facing increasingly complex demands upon their available resources.

Industries and government agencies routinely use GIS as a critical tool in representing and analyzing spatial data. Due to the demand for spatial information, GIS has become a dynamic field with a vast expanse of applications. Whether you are well-versed in computer technology or looking to enter this dynamic field,  Nimde Data’s Courses in GIS is a great way to start a fascinating journey.

Applications of GIS continue to emerge across distinct fields and industries. A sampling of projects and research areas using GIS include:

Agricultural Science

Coastal Zone Management

Environmental Health

Health Care

Homeland Security

Law Enforcement

Natural Resource Management

Public Policy

Remote Sensing

Transportation

Urban Planning

Business Planning

 

As the market demand for spatial data and the systems to represent them continue to expand into new industries and government agencies, employers’ need for GIS-specific skills continue to accelerate. A brief overview of statistics from industry and service providers tracks industry growth for the following professions:

http://advanced.jhu.edu/bin/o/a/gis_map2.gifNimde Data’s Training Program in GIS is a graduate program providing a strong foundational skills training that delves into the principles and real-world applications of GIS. Participants explore the principle tenets of GIS by completing core subject area courses that build their credentials and capitalize on a marketplace hungry for skilled employees.  There are many GIS course Modules for people wishing to obtain a strong foundation in GIS from Nimde Data

The courses focus our students to the following:

  • To become well-versed in GIS theory
  • To become knowledgeable in designing and managing spatial databases
  • To become versed in building and using spatial data models
  • To become prescient in spatial decision-making