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CISSP with Data Science Fundamentals

Overview

CSUSM's online facilitated course introduces you to all eight domains of advanced security knowledge covered on the Certified Information Systems Security Professional (CISSP) exam. 

  • Self-paced, fully-online course
  • Includes externship

Benefits

This program will not only prepare you for the CISSP exam, but will also give you the skills to design, implement and manage IT security for various organizations. You will also learn the concepts and techniques required to be an effective data scientist. 

In this program, you will learn how to: 

  • Model threats
  • Assess risk and protect assets
  • Plan business continuity
  • Engineer strong security into complex systems
  • Protect networks and test security
  • Analyze datasets
  • Build applications
  • Apply machine learning algorithms
  • Acquire data
  • And more!

Schedule, Registration & Fees

Program Start Date Duration Fee Register
CISSP with Data Science Fundamentals (Fully-Online, Self-Paced) Jan. 28, 2019 Six months $2,999 Register Now
  

Discounts Available:

  • 10% Military discount
  • This program is WIOA and MyCAA funding approved

Course Descriptions

CISSP

The CISSP material introduces you to all eight domains of advanced security knowledge covered on the CISSP exam. You will learn how to model threats, assess risks, plan business continuity, protect assets and engineer strong security into complex systems. You will also learn how to protect networks, communications, access, and identities; assess and test security, and manage security operations. Once complete, you will have core skills for designing, implementing, and managing IT security for entire organizations.

Data Science Fundamentals

The Data Science Fundamentals content teaches the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The material is presented with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results. At the conclusion of the course, you will have analyzed a number of datasets, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. Along the way, you will learn the best practices and computational techniques used by professional data scientists. More specifically, you will learn how to acquire data that is openly accessible on the Internet by working with APIs and parse XML and JSON data to load it into a relational database.

 

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