Professional Certificate in Data Science for ESG

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The Professional Certificate in Data Science for ESG is a crucial course designed to equip learners with the necessary skills to apply data science techniques to Environmental, Social, and Governance (ESG) issues. This program is essential as companies are increasingly focusing on ESG factors for sustainable growth and to meet regulatory requirements.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With this certificate, learners will gain expertise in data analysis, machine learning, and predictive modeling, specifically tailored for ESG. The course covers essential topics such as ESG data sources, materiality, risk assessment, and reporting, making learners well-versed in the industry's best practices. By completing this program, learners will be able to demonstrate their ability to leverage data-driven insights to drive ESG performance, leading to improved stakeholder relations, risk management, and long-term profitability. This certification is an excellent opportunity for professionals looking to advance their careers in data science, sustainability, and ESG investing.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Fundamentals of Data Science for ESG  
โ€ข Data Collection & Management for ESG  
โ€ข Exploratory Data Analysis in ESG  
โ€ข Statistical Analysis & Modeling for ESG  
โ€ข Machine Learning for ESG  
โ€ข Data Visualization for ESG  
โ€ข Communicating Data-Driven Insights in ESG  
โ€ข Ethics and Bias in Data Science for ESG  
โ€ข ESG Data Sources & Standards  
โ€ข Applied Data Science Projects in ESG  

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The data science and environmental, social, and governance (ESG) sectors have experienced rapid growth in recent years. A Professional Certificate in Data Science for ESG is an excellent way to capitalize on these booming industries. This 3D pie chart highlights the job market trends in this combined field. Data Scientist, ESG roles account for 45% of the demand in this space, with Data Analyst, ESG positions and ESG Analyst roles following closely behind, making up 30% and 25%, respectively. These roles contribute significantly to the growing importance of incorporating ESG factors into data-driven decision-making processes. This responsive 3D pie chart is designed to adapt to various screen sizes, making it accessible on any device. The transparent background and lack of added background color ensure a seamless visual experience. The chart was created using Google Charts, a powerful and user-friendly data visualization library.

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