October 12

GTK Public Class – Fall 2021

Applied Data Science and Machine Learning for Cybersecurity

Applied Data Science and Machine Learning for Cybersecurity

Close To Nature Language
Easy To Getting Started

Why Choose It?

Huge Demand
Strong Community
Top 500 Companies Are Hiring Cyber Security Developers

Difficulty

Advanced/
Intermediate

Learn Period

32 Weeks

Knowledge Required

Zero-based

Course Language

English

New Concept

lead You into AI World.

Train logical thinking
Solve Issues Ability
10 Practice Projects
Python Basic Knowledge
One to One Tutor
Online Communication

All You Need To Know

About This Well Designed Course

deadline

This course will be offered over four (4) weeks. Each week will have a total of eight hours of coursework spread out over two disparate days. The course will be taught from 12:00 p.m. until 4:00 p.m. each day. (1200-1600) The course dates are:

  • October 12, 14, 19, 21, 26 & 28
  • November 2 & 4
report

This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data. 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 and optimization and finally, implementing at scale—all with a focus on security-related problems.

win

By the end of the course, students will be able to:

  • Use the python data science ecosystem to rapidly prepare, explore and visualize cybersecurity data
  • Build and evaluate common machine learning models and apply these techniques to cybersecurity use cases
  • Develop unsupervised models to uncover anomalies and other patterns in their cybersecurity data.
question

Anyone who wishes to incorporate automated data analysis, machine learning and data science into their cybersecurity work. Particularly those working in the following job roles:

  • Security Analyst
  • SOC Analysts
  • SOC Engineers
  • CND Analysts
  • Security Monitoring
  • System Administrators
  • Cyber Threat Investigators
  • Individuals working on a network hunt team
logical-thinking

Intermediate/Advanced

checklists

This is a hands-on course. To get the most out of the class and labs, students should be comfortable coding in Python as well as understand common security and network concepts.

info

For more information about the course, please check out our Applied Data Science for Cybersecurity page or download the course flyer here.

 

CEO, DATA SCIENTIST

charles givre, CISSP

Charles Givre is a solutions-focused Senior Technical Executive and Data Scientist with 20+ years of success across the technology, data science, fintech, education, and cybersecurity industries.

Upgrade Knowledge Now!

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Students Came To Top 500

Student Feedbacks

The course is well designed to give developers a new innovative thinking.
Ane Doe
Developer
Learnt a lot from all in one machine learning and data analysis course. Highly recommended to those who want to learn new approaches to analyze data.
John Doe
AI Engineer

Grab This Opportunity Now

This course will be offered over four (4) weeks. Each week will have a total of eight hours of coursework spread out over two disparate days. The course will be taught from 12:00 p.m. until 4:00 p.m. each day. (1200-1600) The course dates are:

  • October 12, 14, 19, 21, 26 & 28
  • November 2 & 4

This interactive course will teach security professionals how to use data science techniques to quickly manipulate and analyze network and security data and ultimately uncover valuable insights from this data. 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 and optimization and finally, implementing at scale—all with a focus on security-related problems.

By the end of the course, students will be able to:

  • Use the python data science ecosystem to rapidly prepare, explore and visualize cybersecurity data
  • Build and evaluate common machine learning models and apply these techniques to cybersecurity use cases
  • Develop unsupervised models to uncover anomalies and other patterns in their cybersecurity data.

Anyone who wishes to incorporate automated data analysis, machine learning and data science into their cybersecurity work. Particularly those working in the following job roles:

  • Security Analyst
  • SOC Analysts
  • SOC Engineers
  • CND Analysts
  • Security Monitoring
  • System Administrators
  • Cyber Threat Investigators
  • Individuals working on a network hunt team

Intermediate/Advanced

This is a hands-on course. To get the most out of the class and labs, students should be comfortable coding in Python as well as understand common security and network concepts.

For more information about the course, please check out our Applied Data Science for Cybersecurity page or download the course flyer here.

 

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Event Details
Start Date
October 12, 2021
End Date
November 4, 2021
Times
12:00 PM - 4:00 PM
Location
Virtual Event
Admission
Cost: $4,000
This course is designed for cybersecurity professionals that are new to data science or machine learning but want to use these techniques in real world applications.
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