This skills program is a structured course designed to introduce students to the topic and profession of data science, with an emphasis on geospatial intelligence and analytics. This program will provide learners with the knowledge and technical skills needed to apply data science methodologies to geospatial data, with a focus on answering some essential issues. It is intended for people with no prior experience with digital literacy or data science. The curriculum also acts as a springboard to other advanced credentials, such as the diploma in GISc&T. It will be critical in addressing the country’s issues and realizing its prospects, and it will play a significant role in reducing poverty and improving quality of life outcomes. This training program will help South Africa apply the Coherent District Development Model, which will improve service delivery.

Mathematics for Spatial Data Science

Mathematics for Spatial Data Science is a module that seeks to equip the learner with the necessary foundational skills for spatial data analysis. The module uses mathematics, statistics and their application in data science to bring to life the major spatial intelligence concepts. It examines theory and practice from disparate academic disciplines such as geography, mathematics, physics, …

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Management of Data in Geospatial Databases

Data management principles apply to a variety of fields, including statistics, databases, data warehousing, distributed systems, and data visualization. This course will concentrate on Data Management in the geospatial intelligence space and how to use geospatial databases. This course will teach you how to organize, manage, and maintain data accuracy in your database. Learning objectives …

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Spatial Intelligence Monitoring and Reporting

Reporting and monitoring have become two of the most important requirements in various business organizations, with monitoring assisting in measuring progress and reporting assisting in translating data into meaningful and usable information. This course will concentrate on Spatial Data Visualization as a communication tool in monitoring and reporting activities, as well as how to produce …

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Introduction to Data Acquisition for Spatial Intelligence

Data has developed into a corporate asset capable of guiding sensible business decisions and improving marketing strategies. Data consumption now drives the economy more than ever before.  Because each data item is important, it is necessary to standardize and organize databases in order to conserve space while producing accurate results. The student will interact with several data sources and …

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Spatial Intelligence Cloud Computing

The advancement of technology, as well as the introduction of the Internet of Things (IoT) as a source of geospatial data, has resulted in massive amounts of data, which now pose enormous computing challenges in managing and manipulating big data. Cloud computing has emerged as a new computing model to address these computing challenges in …

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Introduction to Digital Transformation

Digital transformation is neither a product nor a technological solution. Rather, it is a philosophy for using digital assets to transform an organization’s operations. It entails realigning technology and changing business processes to better engage employees, customers, and other stakeholders throughout the organization. Digital transformation improves an enterprise’s performance and reaches significantly, and it has …

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