This course also covers some essential secure coding techniques such as versioning, peer-based code reviews, code analysis, and anti-tampering techniques.This course is one of a series in the Skillsoft learning path that covers the objectives for the Certified Secure Software Lifecycle Professional (CSSLP) exam.Prerequisites: R is a free software environment for statistical computing and graphics and has become an important tool in modern data science.
Prerequisites: R is a programming language used to carry out statistical analysis on datasets.
This course covers how to identify and analyze malicious activity, including malicious code and countermeasures.
It also outlines best practices for endpoint device and cloud security, including host-based firewalls, HIDS, virtualization, and service models.
Prerequisites: This course introduces the concepts of data science and provides a brief overview of the Python skills needed to work with data.
In this course, you will learn about IPython components, Notebook, and the Num Py module.