Cybersecurity Data Science Learning Path

Learn everything you need to employ the latest tools and understand the essentials of cybersecurity data science. Develop skills in malware detection, deep learning technology, intrusion detection, penetration testing and more.

4 hours, 37 minutes

Quick facts

About this learning path

  • courses

    100% online

  • Duration

    4 hours, 37 minutes

  • Assessment

    questions

About Cybersecurity Data Science

This hands-on, comprehensive skill path covers everything from the fundamentals of cybersecurity data science to the state of the art. In this learning path, you establish a cybersecurity lab, develop malware detection classifiers, leverage deep learning techniques and employ machine learning to ethically hack security systems. The guidance of an acclaimed award-winning expert in the realm of cybersecurity data science ensures that you gain the necessary skills to confidently take on any project that may come your way.

 

Who this learning path is for

This course covers data analysis, data visualization, machine learning and security analytics. You’ll gain an understanding of the principles of data science and how they can be applied to cybersecurity roles, including, but not limited to:

  • Technical practitioners from SOC Analysts to Penetration Testers aiming to enhance their knowledge and proficiency in data analysis, data visualization, machine learning and security analytics within the context of cybersecurity.
  • Cybersecurity beginners who have mastered the basics and are ready to start developing a strong foundation in the field of cybersecurity data science.
  • Secure Coders and computer science students interested in specializing in cybersecurity data science and leveraging data-driven techniques for cyber defense.
  • IT professionals looking to expand their cross-disciplinary skills by understanding data science principles and their application in cybersecurity.
  • Data analysts and data scientists interested in transitioning their expertise to the field of cybersecurity and gaining insights into security analytics.

By the end of this learning path, you should:

  • Have a foundational understanding of data science principles essential to cybersecurity data science success.
  • Improve your practical understanding of crafting malware classifiers by learning the most successful techniques used by experts in cybersecurity data science.
  • Know how to prevent unauthorized access to your network by mastering key use cases that target hackers, spammers and other cybercriminals.
  • Increase the effectiveness of your ethical hacker tactics by utilizing the latest social engineering tools and techniques that are powered by machine learning technology.
  • Know how to use machine learning to enhance your penetration testing capabilities by gaining access to previously thought impenetrable information and systems.

 

Syllabus

Cybersecurity Data Science Skill Assessment

Assessment - 60 questions

Preparation for Cybersecurity Data Science

Course - 00:45:00

This course is all about preparing you for fluent and safe handling of malware and employment of Machine Learning to analyze it. You will set up a lab environment for handling and analyzing malware and acquire a basic toolkit of Machine Learning techniques to enable you to tackle the vast majority of Cybersecurity Data Science problems.
Malware Detection via Machine Learning

Course - 00:43:00

You will learn how to perform static and dynamic analysis manually as well as automatically, how to build static and dynamic classifiers and how to troubleshoot imbalanced data and satisfy the common false positive constraint.
Machine Learning for Intrusion Detection

Course - 00:11:00

This course will show you how to prevent intrusion into your network, your inbox or your bank account. You will be building an IDS, a spam filter and a classifier for fraudulent financial transactions — cybersecurity infrastructure we couldn’t do without.
Machine Learning for Social Engineering

Course - 00:17:00

This course will cover some of the latest breakthrough machine learning techniques in social engineering. You will learn automated spearphishing, speech recognition and impersonation, deepfake video creation and fake video detection, and automatic personality analysis.
Machine Learning for Pentesting

Course - 00:18:00

This course will take your penetration testing to the next level by enriching your toolkit with machine learning-based methods. You will learn how to perform neural network-assisted fuzzing, how to break CAPTCHA systems and how to deanonymize the browsing activity of Tor users. You will unlock information and access thought impenetrable before.

Meet the author

Emmanuel Tsukerman

Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers).

In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched the Infosec Skills Cybersecurity Data Science Learning Path.

The details

Learning path insights

How to claim CPEs

Should you complete this learning path, you’ll be able to download a certificate of completion. Use this to claim your CPEs or CPUs.

Associated NICE Work Roles

All Infosec training maps directly to the NICE Workforce Framework for Cybersecurity to guide you from beginner to expert across 52 Work Roles.

  • All-Source Analyst
  • Mission Assessment Specialist
  • Exploitation Analyst

No software. No set up. Unlimited access.

Skip the server racks and spin up a realistic environment with one click. Infosec Skills cyber ranges require no additional software, hardware or server space so your team can spend less time configuring environments and more time learning. Unlimited cyber range access is included in every Infosec Skills subscription so your team can skill up however they learn best.

Unlock 7 days of free training

  • 1,400+ hands-on courses and labs
  • Certification practice exams
  • Skill assessments

Plans & pricing

Infosec Skills Personal

$299 / year

  • 190+ role-guided learning paths (e.g., Ethical Hacking, Threat Hunting)
  • 100s of hands-on labs in cloud-hosted cyber ranges
  • Custom certification practice exams (e.g., CISSP, Security+)
  • Skill assessments
  • Infosec peer community support

Infosec Skills Teams

$799 per license / year

  • Team administration and reporting
  • Dedicated client success manager
  • Single sign-on (SSO)
    Easily authenticate and manage your learners by connecting to any identity provider that supports the SAML 2.0 standard.
  • Integrations via API
    Retrieve training performance and engagement metrics and integrate learner data into your existing LMS or HRS.
  • 190+ role-guided learning paths and assessments (e.g., Incident Response)
  • 100s of hands-on labs in cloud-hosted cyber ranges
  • Create and assign custom learning paths
  • Custom certification practice exams (e.g., CISSP, CISA)
  • Optional upgrade: Guarantee team certification with live boot camps

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