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Career Advancement Programme in Cloud Computing for Data Mining

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Cloud Computing Fundamentals for Data Mining
  • Data Mining Techniques and Algorithms
  • Big Data Technologies and Frameworks (Hadoop, Spark)
  • Cloud-Based Data Warehousing and ETL Processes
  • Data Visualization and Business Intelligence in the Cloud
  • Machine Learning on Cloud Platforms (AWS, Azure, GCP)
  • Security and Privacy in Cloud Data Mining
  • Cloud Deployment Strategies for Data Mining Solutions

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in Cloud Computing & Data Mining (UK) Description Cloud Data Engineer Develops, maintains, and manages cloud-based data infrastructure for efficient data processing and storage.

High demand for expertise in AWS, Azure, or GCP.

Data Scientist (Cloud) Applies advanced analytical techniques to large datasets stored in the cloud to extract insights and drive business decisions.

Strong programming skills (Python, R) are essential.

Cloud DevOps Engineer (Data Focus) Automates and streamlines data pipelines within cloud environments, ensuring reliable and scalable data processing.

Experience with containerization (Docker, Kubernetes) is crucial.

Big Data Architect (Cloud) Designs and implements scalable and robust cloud-based data architectures to meet the demands of large-scale data processing and analysis.

Deep understanding of big data technologies (Hadoop, Spark) required.

Machine Learning Engineer (Cloud) Develops and deploys machine learning models in cloud environments, utilizing platforms like AWS SageMaker or Google AI Platform.

Expertise in model training, optimization, and deployment are vital.

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

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN CLOUD COMPUTING FOR DATA MINING
์—๊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”.
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