Advanced Spatial Intelligence Data Science

Advanced Spatial Intelligence Data Science is the skills development program accredited by the QCTO. The goal of improving geographic data science proficiency so that participants can better understand and identify patterns in location data that can be used to inform decisions. Knowledge of a wide range of technical disciplines, such as computer science, analytics, mathematics, modelling, and statistics, is required for the position of a data scientist.

It entails analyzing large data sets for useful insights and then presenting those ideas to a company’s executive team. This skills program is intended to provide general research knowledge and exposure to geodata science approaches. For example, you can learn the skills needed to take on the more complex geospatial science project.

Geospatial Artificial Intelligence

As a result of technological improvements over the previous decade, vast amounts of data have become freely available. In order to visualize patterns and trends in such huge amounts of data, some form of cognitive advanced analytics is required. Artificial Intelligence (AI), Machine Learning, and Deep Learning are used to make intelligent decisions in a …

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Application Development for Spatial Intelligence

Application development is about creating computer programs to perform certain business tasks. The process is about helping businesses automate their processes and increase efficiency. Each application-building process follows the same steps: gathering requirements, designing prototypes, testing, implementing, etc. Whether it is a simple configuration to customize the application, the principle of application development applies. Inevitable Application development is part …

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