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.
- Teacher: Given Mabaso
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.
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.
- Lecturer: Nyeleti Shivambu
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