description
course
This course empowers participants to master the application of Data Science methodologies for solving a wide array of cybersecurity challenges. The curriculum explores various data science techniques, utilizing industry-standard tools such as RStudio and Jupyter. Practical demonstrations will showcase the implementation of these methods with real-world cybersecurity products and tools, providing a hands-on understanding of their utility in an operational environment.
course audience
Cybersecurity Analysts, Security Operations Center (SOC) Specialists.
prerequisites
Required: General cybersecurity knowledge equivalent to course ANT0000, Recommended: Foundational knowledge in programming and higher mathematics.
how it works
education
online course
The online course involves group classes with an instructor via video conferencing, in addition, homework and an exam.
for corporate clients
training for corporate clients includes online and self-study courses, as well as additional services required by corporate clients: organizing training plans for client departments, assessing the effectiveness of training, etc.
teacher
course
program
course
• Probability Theory and Mathematical Statistics Fundamentals.
• Threat Modeling using Probability Theory.
• Cybersecurity Risk Assessment using Mathematical Statistics.
• Statistics-Based Cybersecurity Metrics.
• Statistical Analysis of Cybersecurity Incidents.
• Traffic Filtering Mechanisms based on Statistical Engines.
• Anomaly Detection based on Statistical Estimates.
• Examples of Preprocessors in IPS (Intrusion Prevention Systems) and DoS/DDoS Protection Systems.
• Regular Expression Logic and Languages.
• Data Extraction using Regular Expressions.
• Log Search and Filtering using Regular Expressions.
• Cybersecurity Event Correlation Mechanisms.
• Structuring and Forming Cybersecurity Datasets.
• Constructing a Data Processing Platform: OpenSearch Example.
• Structured Query Languages (SQL/NoSQL concepts).
• Kusto Query Language (KQL) and Kibana Query Language (KQL).
• Data Filtering for Anomaly Detection.
• Data Filtering for Data Breach Detection.
• Anomaly Detection using Machine Learning Algorithms.
• Traffic Filtering Mechanisms based on Machine Learning Algorithms.
• AI Algorithms for Enterprise Cybersecurity Support.
Сourse purchase
options
individual
Cost — $1,549.15
Group online classes
Unlimited access to all the materials
Live webinars with teachers
Homework
Exam with certificate
To confirm course dates fill out the form.
SUBMIT YOUR APPLICATION
corporate
Cost from $1,549.15
To obtain information about the final cost and clarify the date of the course, please fill out the form.
SUBMIT YOUR APPLICATION
