Within the rich tapestry of possibilities and challenges brought about by technology, particularly artificial intelligence, this certification programme has been designed to cater to the needs of learners in the realm of development cooperation. It aims to empower individuals with the ability to proficiently use data analytics and knowledge management, separately and in conjunction, to drive strategic intervention planning, construct evidence-based models for development and theories of change, facilitate adaptive and agile management, enhance robustness of evaluations, foster transformational organizational development and change, and enhance external communication.

This certification programme equips learners with the necessary concepts, skills, and tools to collect, transform, and organize data for actionable knowledge and informed decision making for improving performances and work processes. The course also provide the learners with the comprehensive understanding of knowledge management from the light of organization-level processes, practices, governance, and systems including technological support systems. Additionally, the course amalgamates data analytics and knowledge management for providing learners with a holistic approach of value creation for achieving efficiency and effectiveness at both individual and organizational levels so that they become more impactful, resilient and future-ready. 

• Data, Information, and Knowledge in Development
• Familiarizing with the Data Ecosystem
• Leveraging Data Analytics
• Foundations of Knowledge Management: Unlocking organizational intelligence
• Knowledge Management Principles into Practise : Techniques, tools and technological solutions
• Organizational Learning and Knowledge Continuity:  Sustaining Development through Institutional Memory and Adaptive Learning
• Big Data and Knowledge Management Nexus for Developmental Impact
• Navigating the Future: AI-Driven Knowledge Management in Development

• Understand data and knowledge related key concepts and relationship among them.
• Know the methods and tools for data analytics, with an emphasis on real-life applicability 
• Optimize value of organizational knowledge to achieve and support your strategic objectives 
• Find synergies and intersections between data analytics and knowledge management in the context of development
• Leverage data-driven knowledge management in the context of public policy processes, programme and projects including organizational development.
• Explore different techniques and tools  
• Get acquainted with the current technological landscape and future trends including big data and artificial intelligence in the context of development planning and interventions. 

Participants who successfully complete the course can expect to improve or enhance their knowledge and skills and be able to:

• Assess your own organization’s readiness for data-driven transformation.
• Develop a data management plan for your own organization, programme or project and get acquainted with relevant tools.
• Apply relevant data analytics techniques with an understanding of the underlying assumptions.
• Identify the key techniques and tools that intersect with Knowledge Management
• Develop a knowledge management strategy and roadmap for your own organization, programme or project
• Advocate for a culture that harnesses the knowledge and experience of people and focuses on learning.
• Use data driven knowledge along the lifecycle of public policy processes, programme and projects including organizational development.
• Immerse into the world of new and emerging trends and technologies of data driven knowledge management solutions and foster innovation including Big Data and Artificial Intelligence.

The course is designed to provide a comprehensive learning experience, with one-on-one guidance throughout your learning journey. Consisting of eight self-guided modules, knowledge tests, a discussion forum, and weekly individual assignments based on case studies created by the course designers and implementers. This balanced mix of self-guided modules, interactive activities, and individual coaching will help you develop practical skills to effectively engage in data analytics and knowledge management in the context of your own work. 

Expect to invest approximately eight to ten hours’ time per week for a total of at least 60 hours.

The course helps you gain practical insights and skill, improve your ability to understand, analyse and interpret data effectively, generate valuable insights and use the evidence generated in solving complex development problem or improving your individual or organizational performance. The course covers current best practices and tools keeping you up to date with the latest trends and advancements in this field. It connects you to peers in a truly global classroom and provide you an opportunity to network with other professionals in the field from a wide range of public, private and non-profit backgrounds.