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Phil Chapman

This course will teach you the basics of data analysis needed for the C|TIA Exam

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This course will teach you the basics of data analysis needed for the C|TIA Exam

Do you need help preparing for the EC Council Certified Threat Intelligence Analyst exam? In this course, Data Analysis (C|TIA Prep) you’ll learn to analyze collected data and look at the concepts of data and threat analysis to enhance your threat intelligence. First, you’ll explore the concepts of data analysis techniques and processes. Next, you’ll discover how to fine tune and illustrate using threat modelling. Finally, you’ll learn how to evaluate and apply different tools for threat intelligence analysis. When you’re finished with this course, you’ll have the skills and knowledge of data analysis needed for the C|TIA Exam.

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Syllabus

Course Overview
Introducing Data Analysis
Understanding Data Analysis Techniques
Understanding Threat Analysis
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Performing Threat Modelling
Examining Fine-tuning Treat Analysis
Creating Runbooks and Knowledge Bases
Course Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores threat modeling, which is an essential skill for threat intelligence analysts
Taught by Phil Chapman, a recognized expert in the field of threat intelligence
Covers the concepts of data analysis techniques and processes, which are fundamental for threat intelligence analysis
Develops skills in evaluating and applying different tools for threat intelligence analysis
Provides a strong foundation for students preparing for the C|TIA Exam

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Analysis (C|TIA Prep) with these activities:
Review basic statistics
Review foundational concepts of statistics to strengthen your understanding of data analysis techniques
Browse courses on Descriptive Statistics
Show steps
  • Review concepts of mean, median, and mode
  • Practice calculating probability distributions
  • Refresh hypothesis testing fundamentals
Review Data Analysis Concepts
Refresh your knowledge of basic data analysis concepts to build a stronger foundation for this course.
Browse courses on Data Analysis
Show steps
  • Review definitions and terminologies related to data analysis.
  • Go through examples of data analysis methods and techniques.
  • Consider taking a practice quiz to test your understanding.
Brush up on statistics
Refreshes foundational knowledge in statistics, which is essential for data analysis.
Browse courses on Statistics
Show steps
  • Review your notes from a previous statistics course.
  • Take a practice quiz on statistics.
  • Complete a few practice problems.
19 other activities
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Review Modern Data Analysis with R
Provides a comprehensive overview of data analysis techniques and R programming.
Show steps
  • Read the book's introduction and first chapter.
  • Complete the practice exercises at the end of each chapter.
  • Use the book as a reference throughout the course.
Review threat modeling concepts
Refresh your understanding of threat modeling concepts to enhance your comprehension of threat analysis.
Browse courses on Threat Modeling
Show steps
  • Review materials on threat modeling
  • Create a simple threat model for a hypothetical scenario
Follow online tutorials on data analysis
Provides additional learning resources and reinforcement.
Show steps
  • Find online tutorials that cover the topics you are studying in the course.
  • Watch the tutorials and take notes.
  • Complete the practice exercises provided in the tutorials.
Practice data analysis exercises
Strengthen your data analysis skills by completing hands-on exercises and solving real-world problems
Browse courses on Data Analysis Techniques
Show steps
  • Work through practice problems on data cleaning and preparation
  • Apply data analysis techniques to uncover insights from datasets
  • Evaluate and interpret results to make informed decisions
Practice data analysis techniques
Help solidify an understanding of data analysis techniques covered in the course.
Browse courses on Data Analysis Techniques
Show steps
  • Complete practice problems from the course materials.
  • Find additional practice problems online.
  • Form a study group with classmates to practice together.
Follow tutorials on data visualization
Enhance your understanding of data analysis by exploring tutorials on effective data visualization techniques
Show steps
  • Explore tutorials on bar charts, line graphs, and scatterplots
  • Practice creating visualizations using data analysis tools
  • Share your visualizations with others for feedback
Follow Tutorials on Threat Modelling
Enhance your threat modelling skills by following video tutorials or online guides.
Show steps
  • Search for video tutorials or articles on threat modelling.
  • Choose a tutorial that aligns with your learning level and interests.
  • Follow the steps provided in the tutorial to create a threat model.
  • Review the results of your threat model and identify any potential vulnerabilities.
Practice Data Analysis Exercises
Sharpen your data analysis skills by completing practice exercises and simulations.
Browse courses on Data Analysis
Show steps
  • Find online platforms or textbooks that offer data analysis exercises.
  • Select exercises that cover the concepts and techniques you want to improve on.
  • Attempt to solve the exercises самостоятельно.
  • Review your answers and identify areas where you need further practice.
Create a data analysis cheat sheet
Provides a quick and easy reference for important data analysis concepts and techniques.
Show steps
  • Identify the most important data analysis concepts and techniques covered in the course.
  • Create a one-page cheat sheet that summarizes these concepts and techniques.
  • Use the cheat sheet as a study aid throughout the course.
Practice analyzing threat intelligence data
Sharpen your data analysis skills by practicing with threat intelligence data, improving your ability to identify and mitigate threats.
Show steps
  • Gather sample threat intelligence data
  • Use data analysis techniques to identify patterns and trends
  • Create visualizations to present your findings
Network with other data analysts
Helps connect with other professionals in the field and learn about new opportunities.
Browse courses on Networking
Show steps
  • Attend industry events and meetups.
  • Join online communities and forums.
  • Reach out to people in your network who work in data analysis.
Participate in a discussion group on threat analysis
Engage in discussions with peers to exchange insights and perspectives on threat analysis
Browse courses on Threat Modeling
Show steps
  • Join a discussion group focused on threat analysis
  • Actively participate in discussions and share your knowledge
  • Learn from the experiences and insights of other participants
Develop a Runbook for Threat Intelligence
Create a runbook to document your threat intelligence analysis process and improve efficiency.
Browse courses on Threat Intelligence
Show steps
  • Gather information on best practices for threat intelligence runbooks.
  • Identify the steps and procedures involved in your threat intelligence analysis workflow.
  • Document these steps in a clear and concise manner using a standardized format.
  • Include sections for threat identification, analysis, mitigation, and reporting.
  • Review and refine your runbook regularly to ensure its effectiveness.
Attend a data analysis workshop
Provides an opportunity to learn from experts and network with other professionals in the field.
Show steps
  • Research data analysis workshops in your area.
  • Choose a workshop that aligns with your interests and learning goals.
  • Attend the workshop and take notes.
Assist Other Students in Threat Analysis
Reinforce your understanding of threat analysis by mentoring other students.
Browse courses on Mentoring
Show steps
  • Identify students who may benefit from your guidance in threat analysis.
  • Offer your assistance and set up regular mentoring sessions.
  • Review threat analysis concepts and techniques with your mentees.
  • Provide feedback on their analysis and help them identify areas for improvement.
  • Encourage your mentees to ask questions and actively participate in the learning process.
Participate in a data analysis competition
Provides an opportunity to test your skills and learn from others.
Show steps
  • Find a data analysis competition that is appropriate for your skill level.
  • Form a team or work individually.
  • Analyze the data and develop a solution.
Develop a threat model for a given scenario
Apply your understanding of threat analysis by creating a comprehensive threat model for a specific use case
Browse courses on Threat Modeling
Show steps
  • Identify the assets and potential threats
  • Analyze vulnerabilities and assess risks
  • Develop and implement mitigation strategies
  • Document and present your threat model
Contribute to Threat Intelligence Communities
Expand your knowledge and network by contributing to open-source threat intelligence communities.
Browse courses on Open Source
Show steps
  • Identify online communities or forums focused on threat intelligence.
  • Join these communities and actively participate in discussions.
  • Share your own insights and experiences on threat analysis.
  • Collaborate with other members on projects or research initiatives.
  • Stay updated on the latest trends and developments in threat intelligence.
Develop a threat intelligence analysis dashboard
Create a visual representation of your threat intelligence findings by designing a dashboard, enabling you to monitor and communicate threat data effectively.
Show steps
  • Choose a dashboard software or tool
  • Design the dashboard layout and visualizations
  • Integrate your threat intelligence data

Career center

Learners who complete Data Analysis (C|TIA Prep) will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, process, and interpret data to help businesses make informed decisions. This course will help you develop the skills you need to succeed as a Data Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Threat Intelligence Analyst
Threat Intelligence Analysts research and analyze threats to an organization's security. This course will help you develop the skills you need to succeed as a Threat Intelligence Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Security Analyst
Security Analysts monitor and analyze security systems to detect and respond to threats. This course will help you develop the skills you need to succeed as a Security Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Information Security Analyst
Information Security Analysts design and implement security measures to protect an organization's information assets. This course will help you develop the skills you need to succeed as an Information Security Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from cyberattacks. This course will help you develop the skills you need to succeed as a Cybersecurity Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Risk Analyst
Risk Analysts assess risks and vulnerabilities to an organization's security. This course will help you develop the skills you need to succeed as a Risk Analyst by providing you with a foundation in data analysis techniques and processes, as well as how to fine-tune and illustrate using threat modeling.
Business Analyst
Business Analysts analyze business processes to identify opportunities for improvement. This course may be useful for Business Analysts who want to develop their data analysis skills.
Data Scientist
Data Scientists use data to solve business problems. This course may be useful for Data Scientists who want to develop their understanding of data analysis techniques and processes.
IT Auditor
IT Auditors evaluate an organization's IT systems to ensure that they are secure and compliant. This course may be useful for IT Auditors who want to develop their understanding of data analysis techniques and processes.
Software Engineer
Software Engineers design, develop, and test software applications. This course may be useful for Software Engineers who want to develop their understanding of data analysis techniques and processes.
Network Administrator
Network Administrators manage and maintain computer networks. This course may be useful for Network Administrators who want to develop their understanding of data analysis techniques and processes.
Database Administrator
Database Administrators manage and maintain databases. This course may be useful for Database Administrators who want to develop their understanding of data analysis techniques and processes.
Product Manager
Product Managers manage the development and marketing of products. This course may be useful for Product Managers who want to develop their understanding of data analysis techniques and processes.
Project Manager
Project Managers plan and execute projects. This course may be useful for Project Managers who want to develop their understanding of data analysis techniques and processes.
Sales Manager
Sales Managers manage sales teams and develop sales strategies. This course may be useful for Sales Managers who want to develop their understanding of data analysis techniques and processes.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Analysis (C|TIA Prep).
It is commonly used as a textbook at academic institutions and "provides a comprehensive overview of the key concepts and techniques of threat intelligence.
Provides an in-depth exploration of Advanced Persistent Threats (APTs) and how to protect against them.
Provides a comprehensive overview of threat modeling techniques and their application in threat intelligence.
Provides a comprehensive overview of data mining techniques and their applications in various fields, including threat intelligence.
Provides a comprehensive overview of cyber threat intelligence, with a focus on practical implementation.

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