L'analyse des données et gestion des connaissances au service du développement
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L'analyse des données et gestion des connaissances au service du développement
5 mai–27 juin 2025
Présentation du cours
L'accélération de la numérisation dans les secteurs public et privé a mené les organisations et leurs membres à accumuler d'immenses volumes de données, à la fois qualitatives et quantitatives, fréquemment complexes, non structurées et hétérogènes.Cette prolifération massive de données s'accompagne de progrès technologiques et de développements rapides dans le domaine de l'analyse de données, ainsi que d'une augmentation notable dans la création d'outils sophistiqués.
L'expansion exponentielle des volumes de données et des capacités d'analyse, y compris dans le domaine de l'intelligence artificielle, ouvre des perspectives et soulève des défis significatifs en matière de gestion des connaissances. En conjuguant l'analyse de données à la gestion des connaissances, individus et organisations peuvent acquérir des idées nouvelles et les partager, tester des stratégies, renforcer la transparence, accroître la valeur et maximiser l'impact. Si vous avez identifié une lacune en matière de connaissances au sein de votre organisation et souhaitez apprendre à élaborer des stratégies d'exploitation des données pour pallier cette lacune, ce programme de formation est conçu pour vous.
De même, si votre objectif est de promouvoir une culture organisationnelle valorisant 'exploitation des connaissances basées sur les données pour la conception de politiques, programmes et projets à fort impact, et pour l'optimisation des processus de travail, ce programme de certification vous guidera dans cette démarche. Ou encore, si vous aspirez à comprendre comment l'analyse de données peut propulser vos performances personnelles, et si vous êtes curieux des dernières tendances et perspectives futures dans le domaine de l'analyse des données et de la gestion des connaissances, ne cherchez pas plus loin !
Ce programme de certification sur l'analytique des données et gestion des connaissances au service du développement vous attend.
Groupes cibles
Le programme vise un spectre étendu de participants internationaux activement impliqués dans la coopération au développement, illustrant une riche diversité géographique à l'échelle mondiale. Conçu pour les professionnels du secteur public, des Nations Unies, des organisations de la société civile, ainsi que pour ceux du monde académique, du secteur privé et des institutions de recherche, ce cours se distingue par sa pertinence pour une audience professionnelle variée qui doit analyser des données afin de générer de nouvelles connaissances. Il est également conçu pour les gestionnaires de programmes et de projets, les responsables de la gestion des connaissances et de la communication, les responsables du suivi-évaluation, ainsi que les spécialistes techniques, soulignant son attrait pour ceux qui occupent des rôles clés dans l'élaboration et la mise en œuvre de programmes et projets de développement.
What is the objective of this course?
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.
What topics does this course cover?
- 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
What will I learn?
- 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.
What will I be able to do?
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.
How will I learn?
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.
Why should I learn?
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.
