The UNSSC “Innovation for Impact” e-Learning Path seeks to accelerate and foster innovation in the UN system by supporting capacity development to create greater impact and enhance the UN workforce's future resilience. The e-Learning Path is composed of the Introduction to Innovation Learning Module, and the UN Innovation Toolkit Learning Module, with the ambition to support innovation efforts in the UN at all levels by offering online learning that embraces the use of digital tools and innovation frameworks and approaches.

This self-paced training course offers an introductory exploration of strategic foresight tailored to individuals engaged in fostering digital innovation for sustainable development. With a focus on bridging the digital divide and addressing global challenges, the course emphasizes the crucial role of strategic foresight in shaping equitable futures. Through seven modules, participants delve into essential concepts, tools, and terminology while honing practical skills in futures thinking. The course equips learners with the competencies to integrate strategic foresight into their specific domains, fostering strategic thinking and innovation in digital development initiatives. By recognizing the value of strategic foresight processes, participants gain insights to drive meaningful change in their projects, policies, and strategies, ultimately contributing to the realization of the UN Sustainable Development Goals (SDGs).

Big data and data analytics emerged quickly in the past decade and they aren't buzz words; they are a reality and they are all making an impact in education. Learning analytics are becoming essential for data-driven decisions in education. A key component of the future of learning institution, as they are used to optimize learning environments for students and employees. The data generated by digital learning ecosystem can guide training managers in making informed data-driven decisions, and students seeking for a personalized learning experience. By taking this course you will learn how to make data-driven decisions to optimize learning and the environments in which it occurs. The course is designed to increase your understanding of learning analytics and it will prepare you to make data-driven decisions about education improvement using a broad range of data collection, analytical, and visualization methods.

The 100 Series Kamino serves as the foundation for the Kamino series. It provides a comprehensive overview of the data science lifecycle, covering data ingest, data wrangling, visualization, machine learning, text analysis, and storytelling. The concepts and applications of data science are demonstrated through narratives and real-life examples. Kamino is designed for anyone, regardless of data science knowledge or background.