This learning path begins with an introduction to UN 2.0, followed by an exploration of the five cross-cutting competence areas—known as the Quintet of Change. You'll start by building a solid foundation with LinkedIn courses that showcase how these competencies are applied in today’s business world. Next, dive deeper into each area with advanced sub-learning paths. These include high-level LinkedIn courses from which you can understand how you can build that cross-cutting competence into your work area. This is accompanied by key UN materials, essential policies, strategies, and tools. Finally, the journey concludes with a curated collection of UNICEF’s most valuable learning resources.

This module aims to build the ability of an Information Management Officer (IMO) to analyse data. It explores the steps involved in data analysis, creating data analysis plans, organizing and summarizing data, and understanding linkages between clusters.

What is innovation management? How do firms bring in new business models and get new products and services to the market? Go on a nine-week journey through innovation management concepts, theories of idea generation, selection, strategy formulation and implementation in this MOOC in Innovation Management. In it, you will also learn the tools for implementing innovation projects yourself. Guided by world-class academics, you will develop an innovative mindset and expertise in how firms successfully create new ideas for marketing new products. The syllabus also includes sessions about innovation strategy, idea management and social networks.

Artificial intelligence (AI) has enormous potential for improving health outcomes and helping countries achieve universal health coverage. However, for AI to have a beneficial impact on people’s health, ethical considerations and human rights must be placed at the centre of its design, development, and use. Adapted from the core contents of the Guidance on Ethics & Governance of Artificial Intelligence for Health, this course introduces entry-level knowledge to policymakers, AI developers and designers, and health care providers who are involved in designing, developing, using and regulating AI systems for health.