Data analytics and knowledge management for development (online)

Data analytics and knowledge management for development
Online

Data analytics and knowledge management for development (online)

29 April–21 June 2024
The course is available in English
Introduction to the course

Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".

Who attends this course?

Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.

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?
  • From raw data to actionable knowledge: Understanding the journey  
  • Data Analytics Fundamentals (Part 1 and Part 2) : Unleashing the power of data  
  • Foundations of Knowledge Management: Unlocking organizational intelligence
  • Knowledge Management Principles into Practice: Strategies and Best Practices 
  • Synergies between Data Analytics and Knowledge Management for development: Exploring the Nexus
  • Innovations in Data-Driven Knowledge Management: Tools and IT Solutions
  • Anticipating the Future: Trends and Foresights in Data analytics and Knowledge Management
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:

  • Develop a data analysis plan for your own organization, programme or project and get acquainted with relevant tools.
  • Apply different data analytics techniques with a clear understanding of the underlying assumptions. 
  • Conduct a knowledge management assessment of your organisation and advocate for a culture that harnesses the knowledge and experience of people 
  • Develop a data-driven knowledge management strategy and roadmap 
  • Use data driven knowledge along the lifecycle of public policy processes, programme and projects including organizational development.
  • Identify tools and techniques for data driven knowledge management to imply in your own work setting
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.

Questions? We have the answers