Exclusive training from Level Effect and GTK Cyber

ADS101: Python for Data Science 

The Python Programming for Data Science and Cybersecurity course will introduce cybersecurity professionals to Python, Jupyter notebooks, and basic statistics. The purpose of this course is to prepare the cybersecurity professional with the foundational knowledge required to take the Applied Data Science for Cybersecurity course. This course requires no prerequisites or knowledge of programming or mathematics.

Hands-on labs, lectures, quizzes and sample code will provide an active learning experience for optimal retention. The course will cover the basics of Python programming using Jupyter notebooks (a popular, user-friendly IDE). Basic statistical methods will be reviewed using the python programming knowledge learned in this course. Exercises and quizzes are provided throughout the course to let you check your knowledge along the way.

At the end of the course, an exam is given to provide a formal way to demonstrate what was learned. Participants who earn a grade of 80% or higher on the exam will receive a course completion certificate.

Course Details

• Course Objectives

  • Utilize Jupyter Notebooks to execute python code and manipulate data

  • Invoke conditional statements and loops to process data in a list or dictionary

  • Import and use python libraries

  • Write clean, readable code with comments and docstrings

  • Compose functions that take in multiple arguments and data types

  • Decode a python error message and debug code accordingly

  • Explain why standardization and scaling are important for analysis and modeling

  • Calculate basic statistical analyses from scratch

• Syllabus

  • Introduction to the course and tools

  • Python Basics

  • Basic Statistical Methods

  • Pandas Introduction

  • Exam: Open-book exam consisting of multiple choice, fill-in-the-blank questions

• Schedule

  This is a live course that runs 32 hours and will be instructed for four days from 12pm - 4pm ET.

  Stay tuned for specific class dates and times!

• Exam

  At the end of the course, you'll have the opportunity to take a 50-question exam to test your knowledge.

• Badging

  Upon successful completion of the course, you'll be awarded a digital badge.

• Cost

  The cost of this course is $799. This covers

  • Live classes as well as the on-demand recordings

  • Two exam attempts

  • Access to a private Discord channel for students

  Interested in taking the Applied Data Science and AI for Cybersecurity course as well? Enroll in both and you'll receive a $300 discount.

ADS201: Applied Data Science & Machine Learning for Artificial Intelligence and Cybersecurity

The Applied Data Science and AI for Cybersecurity interactive course will teach cybersecurity professionals how to use data science techniques to quickly manipulate and analyze network and 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 artificial intelligence as specifically applied to cybersecurity challenges.

The course will cover the entire artificial intelligence 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. 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 and AI as applied to cybersecurity-related challenges and scenarios. Additionally, it is highly recommended for participants to take our Python Programming for Data Science and Cybersecurity course to be comfortable with the basics of Python programming, but it is not required to in order to take this course.

Course Details

• Course Objectives

  • Rapidly explore, visualize and analyze security data using open source tools

  • Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference

  • Identify and deploy modeling in order to extract meaningful information for decision making

  • Construct, train, evaluate , and deploy supervised ML models to solve difficult security related problems

  • Construct unsupervised models for anomaly detection and other exploratory analysis

  • Learn how to use the latest Generative AI for cyber applications

• Syllabus

  • Introduction to Data Science

  • Introduction to Machine Learning

  • Overview of Machine Learning & Cyber Applications

  • Overview of Data Preparation and Feature Engineering

  • Hands-On labs using real-world data sets

  • Data Visualization

  • Feature Engineering

  • Supervised Machine Learning

  • Hands-On labs using real-world data sets

  • Supervised Machine Learning Cont.

  • Model Optimization

  • Automated Machine Learning

  • Unsupervised Machine Learning

  • Hands-On labs using real-world data sets

  • Anomaly Detection

  • Introduction to Big Data

  • Hunting with Data Science

  • Attacking Artificial Intelligence

  • Overview of Deep Learning

  • Hands-On labs using real-world data sets

• Schedule

  This is a live course that runs 32 hours and will be instructed for four days from 12pm - 4pm ET. 

  The course is 32 hours in length, including labs.

  Instructors typically teach 50% of the day, and run training simulations for the other 50%.

  GTK typically uses Google Meet for virtual courses, but can use any service with advanced notice.

  Stay tuned for specific class dates and times!

• Exam

  At the end of the course, you'll have the opportunity to take an exam to test your knowledge. The cost of the course covers two exam attempts. More details on this to come!

• Badging

  Upon successful completion of the course, you'll be awarded a digital badge.

• Cost

  The cost of this course is $2,499. This cost covers...

  • Live classes as well as the on-demand recordings

  • Two exam attempts

  • Access to a private Discord channel for students

  Interested in taking the Python Programming for Data Science and Cybersecurity course as well? Enroll in both and you'll receive a $300 discount.