This course focuses on technical, business and regulatory aspects of Internet of Things (IoT), Big Data and Artificial Intelligence (AI). It covers Internet technologies for IoT, then IoT standards, architectures and interoperability, as well as IoT policies and regulations, including IoT security and privacy issues. The course includes IoT services in 4G and 5G mobile systems, including massive IoT and critical IoT use cases. The IoT generates large amounts of data that cannot be processed by traditional techniques, and such data is referred to as Big Data.

This course aims to raise awareness of what Mobile Phone Data is and to showcase how it can be applied at a National Statistical Organisation (NSO). Information will be shared on how to obtain Mobile Phone Data, plus the opportunities and challenges it presents for incorporating its use at the NSO. The course has been developed by the Task Team on Mobile Phone Data of the UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD).

The training aims to strengthen the capacity of countries to produce ICT indicators and statistics according to international standards and methodologies. It presents the main groups of telecommunication/ICT indicators collected and the different questionnaires as well as the definition and methodologies of the indicators following the ITU Handbook for the collection of administrative data on telecommunications/ICT. Examples provided address data gaps and challenges faced by countries and suggests possible solutions.

The training aims to strengthen the capacity of countries to produce ICT indicators and statistics according to international standards and methodologies. It is intended to assist national statistical offices in collecting and compiling ICT statistics on the access and use to ICTs by households and individuals, by providing guidance on the collection, processing, evaluation and dissemination of ICT household statistics.