Welcome to my course on Unlocking the Power of Python in Cybersecurity
This comprehensive course is comprised of 14 parts, including a Quiz, designed to provide you with the foundational knowledge and skills required to excel in the field of cybersecurity.
Starting with the basics of Python programming, you will learn about data types, control flow, functions, and object-oriented programming. From there, we will delve into a variety of essential Python libraries and tools for cybersecurity, such as Scapy, PySimpleGUI, and Scikit-learn. You will learn how to use these tools to solve cybersecurity-related tasks and develop your own cybersecurity systems and tools. Additionally, we will explore advanced topics such as Machine Learning, Data Visualization, and Data Analysis.
Throughout the course, you will work on hands-on exercises and projects that will help you develop your skills and gain practical experience. By the end of the course, you will have a solid understanding of how to use Python for cybersecurity tasks and be well-prepared to tackle real-world challenges in the field.
Whether you are a cybersecurity professional or simply interested in exploring this fascinating and ever-evolving field, this course is the perfect place to start. You will learn how to code scripts for cybersecurity purposes and create a complete cybersecurity system from scratch.
As this is the 3rd revision of the course, I welcome all feedback and suggestions to improve the content and enhance the learning experience.
[course version 0.2b]
Curriculum
- 1 Section
- 16 Lessons
- Lifetime
- Python Fundamentals:17
- 1.0Introduction to Python
- 1.1Intro Continued.. Basic Structure Of a Python Program
- 1.2Part 1: Variables, Data Types & Basic Operators
- 1.3Part 2: Control Flow In Python
- 1.4Part 3: Functions In Python
- 1.5Part 4: Modules & File input/output (I/O) in Python
- 1.6Part 5: Object-Oriented Programming (OOP) in Python
- 1.7Part 6: Error Handling In Python
- 1.8Part 7: Regular Expressions In Python
- 1.9Part 8: Networking In Python
- 1.10Part 9: Data Visualization In Python
- 1.11Part 10: Web Scraping In Python
- 1.12Part 11: Machine Learning In Python
- 1.13Part 12: Data Analysis In Python
- 1.14Part 13: WebApps & The Flask framework
- 1.15Part 14: Libs, Tools & Building A Cybersecurity Related System
- 1.17Python Quiz [1]20 Minutes17 Questions
Requirements
- Access to a python Interpreter to follow along
Target audiences
- Students, Newbies, Refreshers, Freshers