Validating uml 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.In this course, you'll learn the best practices for implementing security within your applications.This includes handling authentication and passwords, validating data, handling and logging errors, ensuring file and database security, and managing memory.This course is one of a series in the Skill Soft learning path that covers the OWASP Top 10.

This course introduces the OWASP project and its Top 10 list and then examines each one in action and shows how to identify each of these Top 10 threats.Prerequisites: Cryptography, and understanding its limits and pitfalls, is essential to protecting data.In this course, you will learn about how cryptography can be used to protect and secure data, different methods that exist to protect or transmit data securely, and the components that need to be understood to ensure data can be protected properly.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.

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