Spatial Intelligence Data Science
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  • Application Dev - 1 question - 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 of a Geodata Scientist at some point in their career.
  • Artificial Intelligence - 1 question - Over the last decade large amounts of data has become readily available as a result of the advancements in technology. With such large quantities of data some form of cognitive advanced analytics is required in order to visualize patterns and trends. Artificial Intelligence (AI), Machine Learning, and Deep Learning are used to make smart decisions in multiple fields like health, agriculture, geography and other disciplines. The student will develop skills to understand and utilize geospatial artificial intelligence tools to classify objects in imagery and clustering tools to identify patterns. The student will learn how to visualize, understand, and gain insights that may otherwise be hidden in the data and anomalies
  • AR & VR - 1 question - Spatial Intelligence Augmented and Virtual Reality - Virtual reality is a fully immersive computer simulation that provides a person the sensation of being in a different world than the one they are currently in. Virtual reality may be used for a variety of reasons, including training simulations for army pilots and doctors. When digital information is superimposed on the real world, it is referred to as augmented reality. Virtual reality (VR) concepts and techniques are now available for the production of simulated or virtual worlds. A virtual world or virtual geography is the production of artificial geographies for use in study and education using VR ideas and technology. Many websites are currently developing and utilizing virtual geographies. Many sites are developing and using
  • Big Data Analytics - 1 question - Big Data Analytics in Spatial Intelligence - In general, Big Data Analytics is concerned with ingesting real-time data from sensors, social media feeds, or IoT systems and transforming this massive data into manageable and actionable insights. In this module, the student will use the distributed architecture to analyze and display large volumes of data, and spatial analytics tools will help reveal complex spatial patterns.
  • Cloud Computing - 2 questions - Spatial Intelligence Cloud Computing - The advancement of technology and the introduction of 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 other fields as well. Cloud computing is the cornerstone for digital transformation. It provide 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 sharing your work with individuals in your organization and beyond
  • Data Acquisition - 1 question - Introduction to Data Acquisition - 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.
  • Digital Transformation - 0 questions - Introduction to Digital Transformation - Digital transformation is not a product or a technology. Rather, it is a philosophy for transforming an organization's operations through the use of digital assets. It entails realigning technology and modifying business processes in order to better engage employees, customers, and other stakeholders across the enterprise. Digital transformation significantly improves an enterprise's performance and reach, and it has become a top priority for IT and business leaders around the world. The student will learn how to use digital transformation principles to efficiently improve business processes.
  • Geospatial DB Mngt - 1 question - Management of Data in Geospatial Databases - Data Management includes principles that cut across different fields such as statistics, databases, data warehousing, distributed systems, and data visualization. In this course you will focus on Data Management and in Geospatial Databases. This course will help you develop the skills to organize, manage and enhance data. This course will build on basic understanding obtained in the Introduction to Data Acquisition for Spatial Intelligence and the Introduction to the ESRI Product Suite.
  • Managing GIS Teams - 1 question - Effective Management of GIS Teams - This course aims to introduce managers to concepts that will help them manage GIS teams effectively to ensure they can effectively support the organizations project and external projects that they are leading in. Mangers will learn how to bridge the gap between the organisational objectives and the system capabilities by providing insights that allow for a common understanding of what the end products can possibly be.
  • Mathematics - 1 question - 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.
  • Monitoring & Reporting - 1 question - 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.
  • Operations Dashboards - 1 question - Understanding Operations Dashboards - This course aims at introducing ArcGIS Operations dashboards to the learners. Its focus is to give guidance on how to create effective and meaningful Operations dashboards in the ESRI ArcGIS Online platform. The ArcGIS operations dashboards are defined as configurable and out-of-the-box web-based applications, allowing location-based data visualization and the analytics for real-time operational view of services, events, and assets on a single screen. Operations dashboards are classified as business intelligence visualization and data reporting tools because they can monitor business processes such as tracking current key performance indicators (KPIs).
  • Programming - 1 question - Programming for Geospatial Intelligence - Computers in nowadays have become one of the most important tools that we use for the betterment of our daily tasks. However, there are languages used in which information and instructions can be communicated to a computer in order for it to perform specific tasks. These sets of instructions are given through a process of writing codes called programming. This module introduces the application of programming languages being Python and R in the field of Geospatial Intelligence.
  • General - 1 question