Applied Data Science & Machine Learning for A.I. & Cybersecurity
Instructed by Charles Givre
The Applied Data Science and Machine Learning for Artificial Intelligence and Cybersecurity interactive course will teach cybersecurity professionals how to use data science techniques to quickly manipulate and analyze network & security data and ultimately uncover valuable insights from this data. Through cutting-edge labs and real-world data sets, students will gain real and applicable knowledge in data science and AI as specifically applied to cybersecurity challenges. The course will cover the entire data science process from data preparation, feature engineering and selection, exploratory data analysis, data visualization, machine learning, model evaluation & optimization and finally, implementing at scale. Participants will learn how to read data in a variety of common formats, and then write scripts to analyze and visualize the data in meaningful ways. The course is specifically designed to provide sophisticated training in data science as applied to cybersecurity-related challenges & scenarios. Additionally, it would be beneficial for participants to be comfortable with the basics of Python programming, but it is not required to in order to take this course. Once you’ve completed this course you have the skills to read data in a variety of common formats then write scripts to analyze and visualize that data.
Classes are limited. Get registered!
Learn the following key skills:
Finally, you will be introduced to cutting edge Big Data tools including Apache Spark (PySpark), Apache Drill, and GPU accelerated parallel computing frameworks and learn how to apply these techniques to extremely large datasets.
All skill levels
In person & Live Online
Columbia, MD (East Coast) San Francisco, CA (West Coast)
4 days, 32 hours
If you're in network security and have been thinking of getting into data science... this course is for you. However, this course is also designed for data scientist who have wanted to get into Cybersecurity. We teach fundamental to advanced Data Science and how to apply it to Cybersecurity.
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Requirements
Students should bring a laptop with either: Virtualbox (or VMWare) installed, 6GB of RAM and 10GB of storage. Anaconda and IPython installed.
Prerequisites
Why choose the Center for Cyber Security Training
Interactive, classroom-based learning
Subject matter experts
Trusted by US government agencies
Charles Givre
Charles Givre is a solutions-focused Senior Technical Executive and Data Scientist with more than 20 years of success across the technology, data science, Fintech, education, and cybersecurity industries. His broad areas of expertise include data visualization, analytics, network security, information assurance, strategic planning, big data, business intelligence, software development, and program management. He has held leadership positions at organizations including JP Morgan Chase, Deutsche Bank, Booz Allen Hamilton, and the Central Intelligence Agency (CIA). As VP and Product Owner for Data & Analytics at JP Morgan Chase, he led the product team to develop a next generation cybersecurity analytics platform. Mr. Givre is a published author, regular conference speaker and Project Management Committee (PMC) chair for the Apache Drill project.
Curtis Lambert
Lead Data Scientist and CTO at DataDistillr. Instructor/CTO/curriculum developer at GTK Cyber, and Security Researcher with TS/SCI clearance, full scope polygraph with over 15 years experience supporting DoD missions as a Network Intelligence Analyst (NIA), Data Analyst, and Malware Analyst. Strong record of technical achievements while supporting national and tactical-level missions focused on analytic methodologies, access development and prototype tool development.
The knowledge I gained through this course was substantial. From learning new script writing techniques to understanding big data tools, the instructor covered everything I was hoping for and more!- Sarah H., Washington, DC
Want more information?
Download the Applied Data Science for Cyber Security course outline now.
Upcoming Training Sessions
2025
Classes are limited.
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