Course Fees (USD)
eLearning: $500
After learning about malware related to cybersecurity, aspiring data scientists can:
- Gain knowledge of common problems that a data scientist encounters
- Become fluent in malware with the help of a scripting language
- Understand principles of investigating and analyzing properties of malware captured at run time
- Understand how to detect several suspicious behaviors
- Gain experience with hands-on feature engineering and building end to end data pipelines
- Gain experience with deep neural networks and train one to identify malicious processes
- Investigate and solve problems in the cybersecurity realm
PREREQUISITES
Before registering for this exam, participants must complete the Fundamentals of Statistics Applied to Cybersecurity course, which is available as eLearning.
Learners should have some exposure to malware in itself and a working knowledge of a programming language (preferably Python or R). A working knowledge of calculus and linear algebra is helpful.
To access the SEI Learning Portal, your computer must have the following:
For optimum viewing, we recommend using the following browsers:
Microsoft Edge, Mozilla Firefox, Google Chrome, Safari.
These browsers are supported on the following operating systems:
Microsoft Windows 8 (or higher), OSX (Last two major releases), Most Linux Distributions
Mobile Operating Systems:
iOS 9, Android 6.0
For a detailed course description, please go to
Advanced Analytics – Malware eLearning