Professional Certificate in Data Storytelling Frameworks for Professionals

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The Professional Certificate in Data Storytelling Frameworks for Professionals is a comprehensive course designed to empower learners with the essential skills to present data in a compelling and informative way. In today's data-driven world, there is a high demand for professionals who can translate complex data into actionable insights and communicate them effectively to stakeholders.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

This course focuses on the importance of data storytelling and its application in various industries, providing learners with a solid foundation in data visualization, data analysis, and communication. By the end of the course, learners will be able to create data stories that engage and inform, making data-driven decisions and driving business success. Equipped with these skills, learners can advance their careers in various fields, including data science, business intelligence, marketing, and product management. By learning how to tell data stories, learners can differentiate themselves in a crowded job market and become valuable assets to their organizations.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅฎŒไบ†ใพใง2ใƒถๆœˆ

้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Understanding Data Storytelling Frameworks
โ€ข Importance of Data Visualization in Data Storytelling
โ€ข Creating Effective Data Visualizations
โ€ข Key Elements of a Compelling Data Story
โ€ข Identifying Target Audiences and their Needs
โ€ข Tailoring Data Stories for Different Platforms
โ€ข Best Practices for Data Storytelling Ethics
โ€ข Measuring the Impact of Data Storytelling
โ€ข Advanced Data Storytelling Techniques and Tools

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The data storytelling field is rapidly growing, with various roles in demand across the UK. In this 3D pie chart, we represent the percentage distribution of popular data storytelling roles, highlighting the industry relevance of each position. Data Analyst roles take up the most significant portion of the data storytelling job market, accounting for 30% of the demand. As organizations increasingly rely on data-driven decision-making, the need for skilled data analysts is expected to remain high. Data Scientist roles come in second, representing 25% of the data storytelling job market. Data Scientists are essential in organizations as they apply machine learning and statistical models to extract valuable insights from data. Business Intelligence Developers claim 20% of the data storytelling job market. They focus on developing and maintaining business intelligence systems to help organizations make informed decisions based on data. Data Engineers account for 15% of the data storytelling job market, responsible for designing, building, and managing data infrastructure. Lastly, Data Visualization Specialists make up the remaining 10% of the data storytelling job market. They play a crucial role in presenting complex data in an easily digestible format, ensuring that stakeholders at all levels can comprehend and utilize data insights. The Google Charts 3D pie chart above allows professionals to visualize the demand for specific data storytelling roles in the UK. Understanding job market trends helps both aspiring professionals and employers make informed decisions on career paths and hiring strategies.

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  • ไธป้กŒใฎๅŸบๆœฌ็š„ใช็†่งฃ
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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
PROFESSIONAL CERTIFICATE IN DATA STORYTELLING FRAMEWORKS FOR PROFESSIONALS
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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