Global Certificate Data for Social Justice: Connected Systems & Analysis

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The Global Certificate in Data for Social Justice: Connected Systems & Analysis is a crucial course designed to empower learners with the skills to apply data analysis to social justice issues. This program bridges the gap between data analysis and social change, equipping students to drive impactful decision-making in various sectors.

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In today's data-driven world, there's a high demand for professionals who can analyze and interpret complex data sets to address social justice challenges. This course prepares learners for this role, teaching them to collect, analyze, and visualize data, and apply critical thinking skills to solve real-world problems. By completing this program, learners will gain a competitive edge in their careers, demonstrating their ability to apply data analysis to social justice issues and drive meaningful change. With a focus on practical applications and hands-on learning, this course is an essential step towards career advancement for anyone interested in data analysis, social justice, and systemic change.

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โ€ข Data Collection for Social Justice: This unit will focus on best practices for collecting and managing data in a way that promotes social justice. Topics include data bias, data disparities, and ethical data collection methods.
โ€ข Data Analysis for Social Justice: This unit will explore how data analysis can be used to identify and address social justice issues. Students will learn about statistical methods, data visualization, and data storytelling.
โ€ข Connected Systems and Social Justice: This unit will examine how connected systems, such as the internet of things and smart cities, can impact social justice. Topics include digital divide, surveillance, and algorithmic bias.
โ€ข Data Privacy and Security for Social Justice: This unit will delve into the importance of data privacy and security in the context of social justice. Students will learn about data protection laws, encryption, and secure data storage.
โ€ข Data Ethics for Social Justice: This unit will explore the ethical considerations that arise when using data for social justice purposes. Topics include informed consent, data ownership, and data sharing.
โ€ข Data-Driven Advocacy for Social Justice: This unit will provide students with the skills they need to use data to advocate for social justice. Topics include data storytelling, data visualization, and data presentation.
โ€ข Data for Social Justice in Practice: This unit will give students the opportunity to apply what they have learned in previous units to real-world social justice issues. Students will work on projects that involve collecting, analyzing, and visualizing data for social justice.
โ€ข Data-Driven Policy Making for Social Justice: This unit will examine how data can be used to inform policy making in the context of social justice. Topics include evidence-based policy making, data-driven decision making, and policy analysis.
โ€ข Data for Social Justice in the Global Context: This unit will look at how data can be used to address social justice issues in a global context. Topics include cross-cultural data analysis, global data disparities, and international data protection laws.

This Global Certificate program in Data for Social Justice: Connected Systems & Analysis will equip students with the knowledge and skills they need to use data to promote social justice in

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GLOBAL CERTIFICATE DATA FOR SOCIAL JUSTICE: CONNECTED SYSTEMS & ANALYSIS
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ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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