Certificate in Data Analytics for Security Management

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The Certificate in Data Analytics for Security Management is a comprehensive course designed to equip learners with essential skills in data analysis for enhancing security management. This course highlights the importance of data-driven decision-making in the security industry and covers key topics such as data visualization, statistical analysis, and predictive modeling.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With the increasing demand for data-driven security solutions, this course provides learners with a competitive edge in the job market. It prepares learners to analyze complex security data, identify trends and patterns, and develop data-backed security strategies. The course is also aligned with industry standards and best practices, ensuring that learners are well-prepared for real-world security management scenarios. By completing this course, learners will gain the skills and knowledge necessary to advance their careers in security management, as well as demonstrate their commitment to staying up-to-date with the latest industry trends and best practices. Whether you're a seasoned security professional or just starting out, this course is an excellent way to enhance your skills and position yourself for success in this growing field.

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้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Data Analytics: Fundamentals of data analytics, data collection, data cleaning, data preprocessing, data visualization
โ€ข Data Security Fundamentals: Overview of security concepts, confidentiality, integrity, availability, security policies, security controls
โ€ข Data Privacy and Compliance: Data protection regulations, GDPR, HIPAA, PCI DSS, data privacy best practices
โ€ข Security Risk Analysis: Threat modeling, risk assessment, risk management, security metrics
โ€ข Data Analysis Techniques for Security: Descriptive analysis, diagnostic analysis, predictive analysis, prescriptive analysis
โ€ข Incident Detection and Response: Security incident management, threat intelligence, security information and event management (SIEM)
โ€ข Machine Learning for Security: Supervised learning, unsupervised learning, reinforcement learning, machine learning applications in security
โ€ข Data Analytics Tools and Platforms: R, Python, SQL, Tableau, Power BI, Apache Hadoop, Apache Spark

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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
CERTIFICATE IN DATA ANALYTICS FOR SECURITY MANAGEMENT
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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