Geo Asset Data Collection and Management for ICT Professionals

40 hours 54 Enrolled No ratings yet Intermediate

Course Description

This comprehensive course explores geospatial data and the fundamental principles that underpin this field, discovering the significance of data accuracy, precision, and spatial attributes. From the basics of geospatial data and coordinate systems to advanced technologies like GPS, GIS, and remote sensing, learners will gain insights into the tools and methods that drive successful data collection projects.

In this course, learners will have the opportunity to acquire knowledge about the best practices for capturing, storing and managing spatial and non-spatial data and converting the data into useful information for other Departments within the Ministry of Health and Child Care.

This course will equip learners to harness the power of geo-asset data for informed decision-making and problem-solving in diverse industries.

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This course is full right now. We limit the number of students to create an optimized and productive group dynamic.

Requirements

  • Complete the course lessons and answer the quiz at the end of each module to test your understanding of the content provided
  • Attend the in-person workshop sessions at a location to be determined in order to gain deeper insights regarding the collection and management of asset data
  • Participate in discussions and complete provided activities and excercises as part of this course
  • Complete the final quiz to receive certificate upon completion

Audience

  • Information Communication & Technology professionals working in the Health Ministry

What Will I Learn?

  • Introduction to Geographic Information System (GIS)
  • Foundations of Geospatial Data
  • Introduction to Geo Asset Data Collection
  • Understanding ICT Asset Management
  • Definition of ICT assets
  • Importance of asset management in organizations
  • Geo Asset Data Collection Technologies
  • Planning and Project Design
  • Data Collection Methods
  • Data Attributes and Documentation
  • Data Processing and Analysis

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