
Udemy – Data to Defense: A Guide to Cybersecurity Analytics 2024-11
Published on: 2024-12-19 19:23:22
Categories: 28
Description
Data to Defense: A Guide to Cybersecurity Analytics. This comprehensive course is designed to provide you with the skills and knowledge necessary to succeed in the field of cybersecurity analytics. Whether you are a cybersecurity professional, data analyst, or future security analyst, this course will help you by providing a solid foundation and advanced techniques for effectively analyzing security data and protecting your organization’s assets.
What you will learn in the course:
- Fundamental Concepts: Understand the core concepts of cybersecurity analysis, including data-driven security and its importance.
- Data preparation and acquisition: Examine various sources of cybersecurity data, such as network traffic, logs, and threat intelligence feeds. Master data cleansing, transformation, and enrichment techniques.
- Data Analysis and Visualization: Apply statistical analysis techniques to uncover insights from data. Use powerful data visualization tools to effectively present data.
- Machine Learning for Cybersecurity: Explore machine learning concepts and algorithms relevant to cybersecurity. Learn how to build and evaluate machine learning models for tasks such as anomaly detection, intrusion detection, and threat classification. Explore advanced techniques such as deep learning for complex security challenges.
- Intelligence and Threat Hunting: Understand the role of threat intelligence in proactive security. Learn how to identify indicators of risk (IOCs) and conduct threat hunting. Explore techniques for analyzing threat actor tactics, techniques, and procedures (TTPs).
- SIEM and Security Automation: Master the concepts of Security Information and Event Management (SIEM). Learn how to integrate SIEM with other security tools to enhance threat detection and response. Explore automation tools and frameworks to streamline security operations. Understand the benefits of coordination for incident response.
This course is suitable for people who:
- Cybersecurity professionals: Security analysts, incident responders, threat intelligence analysts, and security operations center (SOC) analysts.
- Data Scientists and Analysts: Data scientists and analysts interested in applying their skills to cybersecurity.
- IT professionals: Network engineers, system administrators, and IT operations professionals who want to improve their security skills.
- Students and academics: Computer science, information technology, and cybersecurity students.
- Cybersecurity enthusiasts: People who are interested in cybersecurity and are willing to learn more.
Data to Defense: A Guide to Cybersecurity Analytics Course Description
- Publisher: Udemy
- Instructor: John Boyle
- Training level: Beginner to advanced
- Training duration: 2 hours and 24 minutes
- Number of lessons: 25
Course headings

Prerequisites for the Data to Defense: A Guide to Cybersecurity Analytics course
- Basic understanding of computer science
- Basic understanding of programming (eg, Python)
- Basic understanding of statistics
Course images

Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Download file – 521 MB
File(s) password: www.downloadly.ir
File size
521 MB
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