Certificate in Design Principles for Data Collaboration

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The Certificate in Design Principles for Data Collaboration is a comprehensive course that empowers learners with the essential skills needed to excel in the data-driven economy. This program focuses on data visualization, interaction design, and data ethics, providing a solid foundation in design principles that are critical for effective data collaboration.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In today's data-centric world, there is a growing demand for professionals who can effectively communicate data insights through visualization and design. This course equips learners with the skills to meet this demand, preparing them for careers in data analysis, UX/UI design, and data journalism, among others. By the end of the course, learners will have a deep understanding of design principles, data visualization best practices, and ethical considerations in data collaboration. They will be able to create effective and ethical data visualizations that communicate insights clearly and accurately, enhancing their career prospects and contributing to data-driven decision-making in their organizations.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Visualization Basics: Understanding the fundamentals of data visualization, including chart types and best practices for data representation.
โ€ข Color Theory in Data Design: Exploring the role of color in data visualization, including color psychology, accessibility considerations, and color palette selection.
โ€ข Typography for Data Design: Learning the importance of typography in data visualization, including font selection, hierarchy, and legibility.
โ€ข Data Storytelling Techniques: Developing skills in data storytelling, including narrative structure, visual metaphors, and audience engagement.
โ€ข Interaction Design for Data Visualization: Understanding the principles of interaction design for data visualization, including user experience, interface design, and interactivity techniques.
โ€ข Data Collaboration Best Practices: Examining best practices for data collaboration, including data sharing, communication, and collaboration tools.
โ€ข Data Privacy and Ethics: Exploring ethical considerations and data privacy concerns in data collaboration, including data security, anonymization, and informed consent.
โ€ข Data Visualization Software Tools: Learning to use popular data visualization software tools, including Tableau, Power BI, and R.

Note: These units are not ranked in any particular order and may vary based on the specific needs and goals of the certificate program.

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  • ใ‚ณใƒผใ‚นๅฎŒไบ†ใธใฎ็Œฎ่บซ

ไบ‹ๅ‰ใฎๆญฃๅผใช่ณ‡ๆ ผใฏไธ่ฆใ€‚ใ‚ขใ‚ฏใ‚ปใ‚ทใƒ“ใƒชใƒ†ใ‚ฃใฎใŸใ‚ใซ่จญ่จˆใ•ใ‚ŒใŸใ‚ณใƒผใ‚นใ€‚

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ใ“ใฎใ‚ณใƒผใ‚นใฏใ€ใ‚ญใƒฃใƒชใ‚ข้–‹็™บใฎใŸใ‚ใฎๅฎŸ็”จ็š„ใช็Ÿฅ่ญ˜ใจใ‚นใ‚ญใƒซใ‚’ๆไพ›ใ—ใพใ™ใ€‚ใใ‚Œใฏ๏ผš

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  • ๆญฃๅผใช่ณ‡ๆ ผใฎ่ฃœๅฎŒ

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ใ‚ณใƒผใ‚นใ‚’ๅฎŒไบ†ใ™ใ‚‹ใฎใซใฉใ‚Œใใ‚‰ใ„ๆ™‚้–“ใŒใ‹ใ‹ใ‚Šใพใ™ใ‹๏ผŸ

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN DESIGN PRINCIPLES FOR DATA COLLABORATION
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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