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Certificate Programme in IoT Data Analytics for Factories

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The Certificate Programme in IoT Data Analytics for Factories is a vital ten-unit course addressing the surging industry demand for smart manufacturing expertise. As factories increasingly adopt Industry 4.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

0 technologies, professionals skilled in interpreting complex IoT data are highly sought after. This programme equips learners with essential competencies in data collection, processing, and analytical modeling specifically tailored for industrial environments. By mastering these critical skills, participants enhance their career prospects, enabling them to drive operational efficiency and make data-driven decisions. This certification serves as a powerful catalyst for career advancement, positioning graduates as key assets in the evolving landscape of modern, connected industrial operations.

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์–ด๋””์„œ๋“  ํ•™์Šต

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์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to IoT and Industrial IoT (IIoT) Architectures
  • Data Acquisition and Preprocessing in Industrial IoT
  • IoT Data Analytics Techniques for Manufacturing
  • Time Series Analysis for Industrial IoT Data
  • Predictive Maintenance using Machine Learning in IoT
  • Cloud Platforms and Big Data Technologies for IoT
  • Cybersecurity in Industrial IoT Environments
  • IoT Data Visualization and Reporting for Factory Analytics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Job Role Description IoT Data Analyst (Manufacturing) Analyze large datasets from factory IoT devices to improve efficiency, predict maintenance needs, and optimize production processes.

Requires strong analytical and programming skills.

Industrial IoT (IIoT) Engineer Design, implement, and maintain IoT systems within industrial settings.

Involves knowledge of network protocols, sensor integration, and cloud platforms.

Excellent problem-solving skills are essential.

IoT Data Scientist (Factory Automation) Develop predictive models using IoT data to enhance factory automation, optimize resource allocation, and reduce downtime.

Requires expertise in machine learning and statistical modeling.

Cloud Engineer (IoT Focus) Manage and maintain cloud infrastructure that supports IoT data collection, processing, and analysis in factory environments.

Experience with cloud platforms such as AWS, Azure, or GCP is necessary.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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ํš๋“ํ•  ๊ธฐ์ˆ 

Data Analytics Industrial IoT Sensor Data Predictive Maintenance

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN IOT DATA ANALYTICS FOR FACTORIES
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
์ƒˆ ๋“ฑ๋ก
4.8

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