GTK Private Class
Applied Data Science and Machine Learning for CybersecurityLearn Natural Languages
Easy To Get Started
Why Choose Our Course?
Huge Demand
Cybersecurity Community
Our philosophy ensures that our students gain an enhanced grasp on the principles behind the software. This method makes professionals more proficient and effective in their positions. It gives them the power to apply those processes and methodologies to any software.
Difficulty
Intermediate / ADVANCED
Learning Period
4 Weeks
Knowledge Required
Python
Course Language
English
Applied Data Science for Cybersecurity
Learn how to quickly manipulate
and analyze network and security data
![](https://www.gtkcyber.com/wp-content/uploads/2021/07/a-3199409_640.png)
All You Need To Know
About This Course
![deadline deadline](https://www.gtkcyber.com/wp-content/uploads/2021/07/deadline.png)
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:
- May 17, 19, 24, 26, 31
- June 2, 7, 9
![report report](https://www.gtkcyber.com/wp-content/uploads/2021/07/report.png)
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 win](https://www.gtkcyber.com/wp-content/uploads/2021/07/win.png)
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 question](https://www.gtkcyber.com/wp-content/uploads/2021/07/question.png)
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 logical-thinking](https://www.gtkcyber.com/wp-content/uploads/2021/07/logical-thinking.png)
Intermediate/Advanced
![checklists checklists](https://www.gtkcyber.com/wp-content/uploads/2021/07/checklists.png)
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 info](https://www.gtkcyber.com/wp-content/uploads/2021/07/info.png)
For more information about the course, please check out our Applied Data Science for Cybersecurity page or download the course flyer here.
![](https://www.gtkcyber.com/wp-content/uploads/2021/07/Charles-500x625-1.png)
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 Your Data Science Knowledge Now!
Student Feedback
![](https://www.gtkcyber.com/wp-content/uploads/2021/07/teacher-and-her-students-in-the-classroom-U93JYH3.jpg)
![](https://www.gtkcyber.com/wp-content/uploads/2021/07/smart-boy-programming-robot-with-tablet-at-stem-ed-P8DEZEW.jpg)
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.
Latest News
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
![](https://www.gtkcyber.com/wp-content/plugins/elementor/assets/images/placeholder.png)
History Robotics
Lorem ipsum dolor sit amet, consecteturere adipiscing elit, sed do it eiusmod temporing incididunt ut labore et dolore magna aliqua. Excepteur sint occaecat cupidatat non mek proident, sunt in culpa qui officia deserunti mollit anim id est laborum.
![](https://www.gtkcyber.com/wp-content/plugins/elementor/assets/images/placeholder.png)
Today Mechanics
Lorem ipsum dolor sit amet, consecteturere adipiscing elit, sed do it eiusmod temporing incididunt ut labore et dolore magna aliqua. Excepteur sint occaecat cupidatat non mek proident, sunt in culpa qui officia deserunti mollit anim id est laborum.
![](https://www.gtkcyber.com/wp-content/plugins/elementor/assets/images/placeholder.png)