Professional Certificate in Data Visualization for Operational Excellence

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The Professional Certificate in Data Visualization for Operational Excellence is a comprehensive course designed to equip learners with essential data visualization skills for career advancement. In today's data-driven world, the ability to present complex data in a clear and understandable way is crucial for making informed business decisions.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

This course focuses on the importance of data visualization in operational excellence and covers a range of topics, including data analysis, visualization techniques, and communication strategies. Learners will gain hands-on experience with popular data visualization tools such as Tableau and PowerBI, enabling them to create interactive and engaging visualizations that tell a story and drive action. With a strong demand for data visualization experts across various industries, this course provides learners with a competitive edge and sets them up for success in their careers. By the end of the course, learners will have a solid understanding of data visualization best practices and be able to apply their skills to real-world business scenarios.

100%ใ‚ชใƒณใƒฉใ‚คใƒณ

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Data Visualization Fundamentals  
โ€ข Data Analysis for Operational Excellence  
โ€ข Visualization Tools and Techniques  
โ€ข Designing Effective Data Visualizations  
โ€ข Storytelling with Data  
โ€ข Interactive Data Visualization  
โ€ข Data Visualization Best Practices  
โ€ข Data Visualization Ethics  
โ€ข Implementing Data Visualization Solutions  
โ€ข Continuous Improvement with Data Visualization

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

This section showcases a 3D pie chart that represents the popular roles in data visualization for operational excellence, featuring the following professions and their respective market shares: 1. **Data Analyst** (40%): Data analysts gather, clean, analyze, and interpret large datasets to help companies make informed decisions. 2. **Data Engineer** (30%): Data engineers build and maintain data systems, ensuring data quality, reliability, and accessibility for data scientists and analysts. 3. **Data Scientist** (20%): Data scientists apply statistical methods, machine learning, and predictive modeling to extract insights from data. 4. **Business Intelligence Developer** (10%): Business intelligence developers design and develop data-driven solutions to facilitate strategic decision-making in organizations. The Google Charts library is used to create a responsive 3D pie chart that adapts to various screen sizes and features a transparent background. The chart data is defined using the google.visualization.arrayToDataTable method, with is3D option set to true for the 3D effect. The chart is rendered within the
element, using the ID chart_div.

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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 VISUALIZATION FOR OPERATIONAL EXCELLENCE
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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