Professional Certificate in ESG Data Storytelling

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The Professional Certificate in ESG Data Storytelling is a course designed to equip learners with essential skills for career advancement in the rapidly growing field of Environmental, Social, and Governance (ESG) data. This program is crucial for professionals who want to stay ahead in an industry where ESG data analysis and storytelling have become vital components of business strategy and decision-making.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

By combining data analysis, visualization, and communication techniques, this course empowers learners to translate complex ESG data into compelling stories that inform, persuade, and motivate stakeholders. The course covers essential topics such as ESG data sources, data analysis methodologies, data visualization best practices, and communication strategies. Upon completion, learners will be able to effectively communicate ESG insights, drive sustainable business practices, and advance their careers in this high-demand field. This program is an excellent opportunity for professionals in finance, sustainability, consulting, and other related industries to enhance their skills and stay competitive in today's data-driven world.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to ESG Data Storytelling
โ€ข Unit 2: Understanding ESG (Environmental, Social, and Governance) Concepts
โ€ข Unit 3: Data Collection and Analysis for ESG
โ€ข Unit 4: Visualizing ESG Data
โ€ข Unit 5: Telling Compelling ESG Stories
โ€ข Unit 6: ESG Data Ethics and Bias
โ€ข Unit 7: Communicating ESG Impacts to Stakeholders
โ€ข Unit 8: ESG Data Storytelling Case Studies
โ€ข Unit 9: Emerging Trends in ESG Data Storytelling
โ€ข Unit 10: Best Practices and Future Directions in ESG Data Storytelling

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN ESG DATA STORYTELLING
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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