Section outline

• Select section General

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  General

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  • Select activity Welcome Note

    

    Welcome Note Forum

    Welcome to the Course: Introduction to Inclusive Data – Foundations & Norms

    Thank you for choosing to take this course, we are delighted to have you join us!

    This course has been designed with you in mind—whether you are working in public service, civil society, or grassroots initiatives. If you're involved in programming, budgeting, policymaking, data collection, or public participation, then you are already shaping decisions that impact lives. 

    Together, we’ll explore what it means to collect, manage, and use data that leaves no one behind. You’ll learn about key concepts, values, and frameworks—both global and national—that support inclusive data practices. You don’t need to be a data expert; just bring your curiosity, your experience, and your commitment to equity.

    We encourage you to engage with the materials and reflect on your current practices. Our hope is that this course not only builds your knowledge, but also inspires practical change in how data is used in your work and the programming/policy decisions you undertake are informed by data that is inclusive, equitable, and truly representative of all communities.

    Welcome aboard—and thank you for being part of the journey toward more inclusive and impactful data systems!

• Select section Module 1: Inclusive Data: Concepts and Frameworks

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  Module 1: Inclusive Data: Concepts and Frameworks

  This module introduces key concepts in inclusive data, dimensions, and frameworks for policymakers, researchers, and data professionals.

  Not available unless: You belong to Self enrolment (Student)
• Select section Module 2: Responsible Data Practices, Governance & Ethics

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  Module 2: Responsible Data Practices, Governance & Ethics

  By the end of this module, participants should be able to: 

  1. Understand how data is interpreted as a legal concept

  2. Understand global and Kenyan data protection principles

  3. Differentiate between personal and sensitive data and how to handle it

  4. Understand what data protection by design and default means

  5. Understanding of data management principles and relevant legal issues, enabling them to effectively and ethically manage data 

  Not available unless: You belong to Self enrolment (Student)
• Select section Module 3: Inclusive Data Collection: Methods & Tools,

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  Module 3: Inclusive Data Collection: Methods & Tools,

  This module explores inclusive data collection methods and provides participants with key concepts on data source, survey design, data sources, and technology. We will also discuss stakeholder collaboration and how to build capacity. 

  Not available unless: You belong to Self enrolment (Student)
• Select section Module 4: Data Quality & Standardisation

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  Module 4: Data Quality & Standardisation

  This module explores the critical role of data quality in enhancing gender and disability inclusion. It also  assesses key data quality dimensions and harmonization challenges.

  Not available unless: You belong to Self enrolment (Student)
• Select section Module 5: Data Analysis & Visualisation for Decision-Making

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  Module 5: Data Analysis & Visualisation for Decision-Making

  This module is designed to empower participants with an understanding of data analysis and visualization techniques that can be used to transform raw data into actionable insights. The module also explores the power of communication and effective story telling. 

  Not available unless: You belong to Self enrolment (Student)
• Select section Module 6: Policy & Advocacy Using Inclusive Data

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  Module 6: Policy & Advocacy Using Inclusive Data

  This module is designed to equip participants with strategies to harness inclusive data for evidence-based policy advocacy, enabling them to overcome institutional resistance, influence budgetary allocations, and transform data collection into actionable governance reforms that address systemic inequities.

  
  
  

  Not available unless: You belong to Self enrolment (Student)
• Select section Course Review

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  Course Review

  Not available unless: You belong to Self enrolment (Student)