This unit lays a foundation to the concept of cloud computing and characteristics of the cloud computing model, compared to conventional or traditional computing. It describes types of cloud computing services and applications in everyday life. The value and potential of cloud computing in the public sector, along with risks of implementation are discussed.
This unit introduces Software as a Service, or SaaS, one of the basic cloud computing service models. It describes characteristics of SaaS and provides examples of how organizations use it. The advantages and disadvantages of the Software as a Service model are explained.
This unit explores one of the basic cloud computing service models, Infrastructure as a Service, or IaaS. It describes its key characteristics, provides examples, and explains the advantages and disadvantages of using IaaS.
This unit takes a look at Platform as a Service, or PaaS, one of the cloud computing service delivery models. It describes important characteristics of the model, offers examples of how an organization might use it, and discusses benefits and challenges associated with its implementation.
This unit examines data management, its benefits, and best practices. In addition, the consequences of poor data management are highlighted, and data strategy and data governance are explained.
This unit introduces blockchain technology and discusses the key elements, significant characteristics, and main types of blockchains. It explains how cryptocurrency is one application of blockchain and explores other potential applications.
This unit introduces the field of data science and explains factors that contributed to its rise. It will help you understand how data science is related to Big Data, data analytics, and data visualization.
This unit introduces big data and explains how big data contributes to knowledge building, predictions, and decision making. It explains sources of data being used today and how big data is stored, managed, and manipulated. The potentials of using big data to solve complex social and economic problems, as well as the risks associated to mining big data are also explored.
This unit provides an introduction to data analytics and how data analytics can be used in organizations. It explains the difference between big data and data analytics, and it will help you identify unstructured and structured data and the four types (or levels) of data analysis.
In this unit, you can familiarize yourself with data visualization, its benefits, and scenarios in which using it is impactful. You will be introduced to types and examples of data visualizations, as well as preattentive attributes and visual encoding formats to help you decide what kind of data visualization to use.
This unit encourages you to explore the field of artificial intelligence, or AI. After completing it, you will be able to explain key features of artificial intelligence and recognize examples of AI in everyday life.
This unit explores virtual reality, or VR, and the hardware used to achieve it. It describes uses of VR in various fields, along with risks associated with VR use. The differences between virtual reality and augmented reality, or AR, are also discussed.
This unit introduces augmented reality, or AR, and the hardware used to achieve it. It describes fields in which augmented reality can be used, along with the potential and limitations of AR technology. The differences between augmented reality and virtual reality, or VR, are also explained.
This unit introduces the topic of data ethics and how it relates to Big Data and emerging technologies. It overviews various ethical issues that have arisen with the advent of Big Data, artificial intelligence, machine learning, data analytics, and algorithms, as well as ethical dilemmas associated to the collection, analysis, use, and sharing of data. The principles related to data ethics that must guide data management, along with the current state of affairs with regards to laws and policies for data ethics are discussed.