Learn Fundamentals of Data Analytics for Cybersecurity, Tools, Network and Endpoint Security, Threat Detection, SOC
Sub Category
- Network & Security
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Objectives
- You will understand the Introduction to Cybersecurity and Data Analytics, including core cybersecurity concepts
- You'll also explore how data analytics supports threat detection and response. Hands-on activity includes analyzing a basic cybersecurity attack
- You will explore the Fundamentals of Data Analytics for Cybersecurity, covering the four types of analytics—descriptive, diagnostic, predictive & prescriptive
- You'll examine different cybersecurity data sources such as logs, network traffic, and endpoint data, and learn how to collect, store, and manage them
- You will work with Tools for Cybersecurity Data Analytics, including SIEM platforms like Splunk, QRadar, and the Elastic Stack
- You'll also gain exposure to TIPs and analytics tools such as Python (Pandas, Matplotlib, Seaborn), Tableau, and Power BI.
- You will gain insights into Network and Endpoint Security Analytics, learning how to analyze network traffic for anomalies using tools like Wireshark
- The role of machine learning in detecting suspicious activity on the network and endpoints will also be covered
- You will gain expertise in Threat Detection and Incident Response, learning how to identify Indicators of Compromise (IoCs),
- You'll explore automating incident response using data analytics. Practical work includes creating a threat dashboard and simulating an incident response
- You will dive into Advanced Analytics for Cybersecurity, studying machine learning and AI applications such as predictive analytics
- You will understand Security Operations Center (SOC) Analytics, focusing on SOC metrics, dashboards, and how analytics supports SOC functions
- You'll explore workflow automation and review case studies of SOC success. Hands-on task involves designing a SOC dashboard using operational metrics
- You will explore Compliance, Risk Management, and Privacy Analytics, learning how to ensure data privacy, manage regulatory requirements
- You'll study insider threat detection techniques. Activities include generating a compliance report and analyzing user logs
- You will examine Emerging Trends and Future Directions in cybersecurity, covering challenges in IoT, cloud, and AI environments
- You'll explore data analytics in zero-trust architecture, big data analytics in threat hunting, and ethical considerations. Case-based activity focuses on cloud
Pre Requisites
- You should have an interest in cybersecurity, data analytics, and how modern analytics techniques are applied to detect and respond to cyber threats
- A desire to learn how to collect, process, and analyze cybersecurity data using tools such as Python, Splunk, Tableau, Power BI, and SIEM platforms.
- Interest in exploring real-world threat detection, incident response, and compliance use cases using analytical methods and cybersecurity frameworks
- Familiarity with basic programming in Python and a foundational understanding of cybersecurity principles and data analysis techniques is recommended
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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