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.

Management of Data in Geospatial Databases

Mathematics for Spatial Data Science

Introduction to Data Acquisition for Spatial Intelligence

Introduction to Digital Transformation

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 collection methods to gather a dataset in this lesson, such as setting an API, the internet, and a database, among others.

Mathematics for Spatial Data Science

Enrolment on payment

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, and general social science. This approach allows students to grapple with biodiversity, crime, natural hazards, climate, energy, water, and other relevant real-world issues of the twenty-first century using modern data-driven decision-making.

Spatial Intelligence Cloud Computing

The advancement of technology and the introduction of the Internet of things (IoT) as a source of geospatial data has produced large volumes of data which now pose grand computing challenges in managing and manipulating big data. Cloud computing has emerged as a new computing model to address these computing challenges not only in the geospatial field but in other fields as well. Cloud computing is the cornerstone for digital transformation. It provides organizations with on-demand data storage, computing power and various cloud services. The student will develop skills to understand and utilize the cloud to store GIS Data, host GIS Web Maps and Applications as well as share your work with individuals in your organization and beyond.


Spatial Intelligence Monitoring and Reporting

Reporting and Monitoring has become one of the most essential need in the different business

organizations, where monitoring plays a role in measuring progress and reporting helps to translate

data into meaningful and usable information. In this course you will focus on Spatial Data Visualization

used as a communication tool in monitoring and reporting activities also on how to yield results of

specific projects or programs. This course will help you develop skills to monitor and report on various

aspects of spatial information managed in a GIS system through the application of interactive and

interrogative dashboards.

Spatial Intelligence Monitoring and Reporting

Spatial Intelligence Cloud Computing