Cybersecurity Data Science Project

In this project, you’ll analyze a malware sample using classifiers provided in the project files — or with ones you build yourself. You’ll begin by creating a virtual machine for the project and exporting its image in the OVA format, then extract the list of imports and identify the most commons 4-grams in the binary sequence in the Jigsaw ransomware sample. You’ll recognize images created with deepfakes and determine text in a large number of CAPTCHA images.

Number of questions: 5

Preparation for Cybersecurity Data Science

Set up your cybersecurity lab and acquire the background knowledge essential to success in Cybersecurity Data Science.

9 videos
44 minutes of training

Malware Detection via Machine Learning

Gain a practical understanding of the most successful techniques used by Cybersecurity Data Science experts for the crafting of malware classifiers.

11 videos
44 minutes of training

Machine Learning for Intrusion Detection

Master the most important use cases for preventing hackers, spammers and criminals from entering your network uninvited.

5 videos
11 minutes of training

Machine Learning for Social Engineering

Expand the impact of your social engineering by arming yourself with the latest machine learning-based social engineering tools and methods.

7 videos
16 minutes of training

Machine Learning for Pentesting

Employ machine learning to take your penetration testing to the next level by unlocking information and access thought impenetrable before.

4 videos
17 minutes of training