Global Certificate in Data-driven Decision Making in Science

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The Global Certificate in Data-driven Decision Making in Science is a comprehensive course designed to empower learners with essential data analysis skills necessary for career advancement in today's data-driven world. This course highlights the importance of data-driven decision making in science, providing learners with hands-on experience in analyzing and interpreting complex datasets using popular tools and techniques.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing demand for data-driven decision making across industries, this course is critical for learners looking to stay competitive and relevant in their respective fields. By the end of the course, learners will have acquired essential skills in data analysis, visualization, and interpretation, enabling them to make informed decisions and communicate insights effectively to stakeholders. The course covers a range of topics, including statistical analysis, data visualization, and machine learning algorithms, providing learners with a well-rounded understanding of data-driven decision making. Upon completion of the course, learners will be equipped with the skills necessary to apply data-driven decision making in real-world scenarios, making them valuable assets in their respective industries.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to Data-Driven Decision Making in Science  
โ€ข Unit 2: Foundations of Data Science  
โ€ข Unit 3: Data Collection and Management  
โ€ข Unit 4: Statistical Analysis  
โ€ข Unit 5: Data Visualization  
โ€ข Unit 6: Machine Learning and Predictive Modeling  
โ€ข Unit 7: Big Data and Cloud Computing  
โ€ข Unit 8: Ethics and Governance in Data-Driven Science  
โ€ข Unit 9: Communicating Data-Driven Insights  
โ€ข Unit 10: Capstone Project: Applying Data-Driven Decision Making in Science

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The **Global Certificate in Data-driven Decision Making in Science** helps professionals stay ahead in the competitive UK job market. This section features a 3D pie chart representing the demand for various data-related roles. *Data Scientist* roles lead the demand with 30% of the market share, requiring skills in programming, statistics, machine learning, and data visualization. *Data Analyst* positions follow closely with 25% of the share, requiring proficiency in data cleaning, SQL, and data visualization. *Business Intelligence Developers* hold 20% of the demand, focusing on data visualization, reporting, and dashboard creation. *Machine Learning Engineers* represent 15% of the market, requiring expertise in machine learning algorithms, deep learning, and software engineering. *Data Engineers* make up the remaining 10%, responsible for data pipeline development, data warehousing, and data integration. This 3D pie chart highlights the growing need for professionals with data skills in the UK, enabling informed career decisions and targeted skill development.

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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€‚

ใ‚ณใƒผใ‚น็Šถๆณ

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  • ่ชๅฏใ•ใ‚ŒใŸๆฉŸ้–ขใซใ‚ˆใฃใฆ่ชๅฎšใ•ใ‚Œใฆใ„ใชใ„
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ใ‚ณใƒผใ‚นใ‚’ๆญฃๅธธใซๅฎŒไบ†ใ™ใ‚‹ใจใ€ไฟฎไบ†่จผๆ˜Žๆ›ธใ‚’ๅ—ใ‘ๅ–ใ‚Šใพใ™ใ€‚

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ใ“ใฎใ‚ณใƒผใ‚นใ‚’ไป–ใฎใ‚ณใƒผใ‚นใจๅŒบๅˆฅใ™ใ‚‹ใ‚‚ใฎใฏไฝ•ใงใ™ใ‹๏ผŸ

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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‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN DATA-DRIVEN DECISION MAKING IN SCIENCE
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
UK School of Management (UKSM)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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