Global Certificate in Cloud-Native Analytics for Impact

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The Global Certificate in Cloud-Native Analytics for Impact course is a comprehensive program designed to meet the growing industry demand for professionals skilled in cloud-native analytics. This course is important for individuals seeking to advance their careers in data analytics, AI, and machine learning, as it provides hands-on experience with cloud-native tools and techniques.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

The curriculum covers essential topics such as cloud-native data architecture, data engineering, analytics, and machine learning. Learners will gain practical experience working with popular cloud-native platforms, including Google Cloud, AWS, and Azure. This course is designed to equip learners with the skills necessary to solve real-world business problems using cloud-native analytics. Upon completion of this course, learners will receive a globally recognized certificate that can be used to demonstrate their skills and expertise in cloud-native analytics. This certificate is highly valued in the industry and can lead to exciting career opportunities in data analytics, AI, and machine learning.

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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™‚้–“

ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Cloud-Native Architecture
โ€ข Data Engineering for Cloud-Native Analytics
โ€ข Distributed Computing and Storage
โ€ข Big Data Processing with Hadoop and Spark
โ€ข Real-time Streaming Analytics
โ€ข Machine Learning and AI on Cloud
โ€ข Cloud-Native Analytics Security and Compliance
โ€ข Designing Cloud-Native Analytics Solutions for Impact
โ€ข Cloud-Native Analytics Use Cases and Best Practices

ใ‚ญใƒฃใƒชใ‚ขใƒ‘ใ‚น

The Global Certificate in Cloud-Native Analytics for Impact focuses on six key roles driving the UK's cloud-native analytics job market: Data Engineer, Data Scientist, Cloud Architect, Cloud Administrator, DevOps Engineer, and Machine Learning Engineer. This 3D Pie chart displays the percentage of relevance for each role based on the demand in the industry. The chart highlights Data Engineer as the most in-demand role, accounting for 25% of the job market. Data Scientists follow closely, representing 20% of the demand. Cloud Architects and Cloud Administrators share 18% and 15% of the market, respectively, while DevOps Engineers account for 14%. Machine Learning Engineers, although highly specialized, make up 8% of the demand. By understanding these trends, professionals and aspirants in cloud-native analytics can make more informed career choices and focus their learning efforts on the most industry-relevant skills.

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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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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‚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‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN CLOUD-NATIVE ANALYTICS FOR IMPACT
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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