Research and Data Analysis

Cybersecurity Data Analytics and Threat Intelligence Training Course

Introduction

In an era marked by relentless cyber threats, organizations are seeking skilled professionals who can combine the power of cybersecurity analytics, threat intelligence, and data science to proactively defend against attacks. Cybersecurity Data Analytics and Threat Intelligence Training Course equips participants with cutting-edge skills to detect anomalies, monitor cyber threats, analyze logs, and apply predictive modeling in cyber defense. This course is designed for professionals aiming to gain hands-on experience with industry tools like Splunk, Wireshark, Python, SIEM, MITRE ATT&CK, and machine learning algorithms for security analytics.

Through an immersive, case-based learning experience, learners will build capabilities in cyber threat detection, incident response, risk modeling, and real-time threat intelligence gathering. This course prepares participants to become critical assets in any cybersecurity operations center (SOC) or cyber threat intelligence team.

Programme Curriculum

Cybersecurity Data Analytics and Threat Intelligence Training Course

Introduction

Course Objectives

Understand the fundamentals of cybersecurity threat intelligence.
Apply data analytics techniques in cyber defense operations.
Utilize machine learning for threat detection and prediction.
Perform network traffic analysis using Wireshark and Zeek.
Investigate SIEM alerts and apply incident response tactics.
Analyze malware behavior using sandboxing and threat feeds.
Implement MITRE ATT&CK framework for adversary emulation.
Use Python scripting to automate security tasks.
Correlate logs from multiple sources to identify insider threats.
Generate threat intelligence reports using structured data.
Use threat hunting strategies to detect hidden anomalies.
Evaluate risk through vulnerability assessment and scoring.
Design and implement cyber threat models using real-time data.

Target Audiences

Cybersecurity Analysts
Data Scientists in Security Domains
IT Security Engineers
Threat Intelligence Researchers
Security Operations Center (SOC) Teams
Government Cybersecurity Officials
Network Security Administrators
Cybersecurity Enthusiasts and Graduates

Course Duration: 5 days

Course Modules

Module 1: Foundations of Cybersecurity Analytics

Introduction to cybersecurity and data analytics
Overview of threat intelligence lifecycle
Data sources: logs, NetFlow, endpoints, and dark web
Cybersecurity metrics and KPIs
Tools overview: ELK stack, Splunk, and SIEM
Case Study: Identifying threats using log correlation in Splunk

Module 2: Network Traffic and Packet Analysis

Understanding network protocols and packet flow
Deep packet inspection using Wireshark
Detecting anomalies in traffic with Zeek
Network flow analytics and visualization
Signature-based vs anomaly-based detection
Case Study: DDoS detection through packet analysis

Module 3: SIEM Implementation and Log Analytics

Introduction to SIEM and its architecture
Log parsing, normalization, and correlation
Event investigation using Splunk or IBM QRadar
Alert tuning and noise reduction
Creating dashboards and custom alerts
Case Study: Insider threat detection using SIEM

Module 4: Threat Intelligence Platforms and Feeds

Overview of TIPs and open-source threat feeds
Integrating CTI into existing security operations
Analyzing IOC, TTPs, and STIX/TAXII
Threat data enrichment and validation
Attribution and actor profiling
Case Study: Using MISP to track APT group activity

Module 5: Machine Learning for Threat Detection

ML concepts applied to cybersecurity
Supervised vs unsupervised models
Anomaly detection using clustering and SVM
Feature engineering for security datasets
Model evaluation and improvement
Case Study: Malware classification using machine learning

Module 6: Adversary Emulation and MITRE ATT&CK

Introduction to adversary tactics, techniques, and procedures
Navigating the MITRE ATT&CK matrix
Mapping incidents to ATT&CK framework
Red vs Blue teaming strategies
Automating detection rules with ATT&CK
Case Study: Emulating APT29 attack lifecycle

Module 7: Python for Cybersecurity Automation

Python scripting basics for cybersecurity tasks
Automating log parsing and IOC extraction
Creating security bots and scripts
Integrating APIs for threat feeds
Visualizing security data with matplotlib and seaborn
Case Study: Building a threat hunting script in Python

Module 8: Real-Time Threat Hunting and Incident Response

Threat hunting methodologies and frameworks
IOC-based and hypothesis-driven hunting
Incident lifecycle and response phases
Root cause analysis and forensic investigation
Building a threat hunting playbook
Case Study: Threat hunting in a simulated SOC breach

Training Methodology

Instructor-led live virtual sessions
Hands-on labs and sandbox environments
Weekly quizzes and self-paced learning content
Real-world case study simulations
Capstone project on cybersecurity threat modeling
Peer-reviewed discussions and feedback

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Cybersecurity analytics threat detection data intelligence

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000