Data Analysis and IT Security Using Python

IT services are rapidly transitioning to cloud environments. You will learn security practices from basic virtual infrastructure construction to security threat monitoring and vulnerability diagnosis for each area to secure the Amazon AWS cloud environment.

This is an introductory malware analysis course that even beginners can easily understand. Based on methodologies such as static analysis, dynamic analysis, and automated analysis of malware analysis, you will analyze various sample cases. It also covers in detail how to use various tools necessary for malware analysis.

You can learn how to fully utilize Frida, which is used in mock hacking practice.

In this lecture, we will talk about the Flask framework. After looking at the web page prerequisites and Flask, we will create a file upload server that uploads, downloads, and deletes files, and a to-do note page that manages tasks using a Mongo database.

You can learn about the functional utilization of OWASP-ZAP, a web proxy required for running web services, and the virtual environment image Security Onion for analyzing breach response according to attack patterns.

IT services are rapidly transitioning to cloud environments. This covers everything from basic virtual infrastructure construction to understanding service operation, monitoring, and security areas for each area to secure the MS Azure cloud environment.

IT infrastructures are being moved to virtualization and cloud environments. Services are becoming more diverse, and many applications are being operated on the infrastructure. In order to respond to the security of increasingly complex infrastructures, various security devices are being introduced. However, this will be a lecture where you can sufficiently practice and prepare using open tools for things that you cannot experience without purchasing security devices.

IT services are rapidly transitioning to a cloud environment. You will learn security practices from the basics of building a virtual infrastructure to monitor security threats in each area and diagnose vulnerabilities to secure the domestic Naver cloud environment.

This is the first series of integrated courses that cover everything from the introduction to practical application of ISMS-P certification auditor qualification examination, "ISMS-P certification auditor qualification examination basic/practical course T1. Certification system, certification standard 1". Based on actual information protection practice cases, you can also learn the detailed work of the certification system and information protection management system.

This is a basic course for those preparing for bug hunting (bug bounty) and mock hacking work. Web hacking is essential for mock hacking work. After learning web hacking, you can learn various cases from web hacking to system hacking by using a virtual web/server environment where you can study based on scenarios.

It includes module analysis and development stages using the vulnerability analysis framework Metasploit. This is the stage where you can freely use and utilize the modules you created after taking the beginner-intermediate Metasploit course. This is a high-level lecture that you cannot hear anywhere else in Korea or abroad.

This is a practical course that allows you to learn and practice from basic app analysis to applying source code response measures using an Android mobile virtual banking app. It is a course that can be taken from beginners to intermediate or higher. It is a required subject for those who have chosen the mock hacking career path.!!

Network packet analysis is essential when conducting incident analysis and vulnerability analysis. Among the tools available, Wireshark is the most widely used, and this course covers the complete utilization of Wireshark and provides understanding through incident analysis case studies.

You will learn how to analyze and quickly visualize various types of data using the Python Streamlit library and output it as a web service. You can use it when you want to apply it to your work faster than the existing web development method.

Learn about information security professionals. What they do, what the outlook is like, and what to prepare to become one. This will be very helpful for those who are concerned about their career path.

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.

Cyber security threats are increasing every year, targeting external services and internal system penetration and personal information theft. This article covers basic security activities that developers and operators must perform to operate, develop, and protect infrastructure, applications, and the cloud.

Cyber security threats are increasing every year, stealing personal information and abusing privacy. This course covers security issues and security activities that employees must know and follow in their work and personal lives.

This lecture provides a general guide on how to prepare while studying when you want to choose a career in IT security penetration testing, and what questions and answers to prepare for the interview. I will share my experience working as a penetration testing consultant, at large companies, and in the financial sector, and currently running a penetration testing consulting business.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

No more encyclopedia-style lectures from A to Z! A reference-style lecture that gathers only the essentials you can apply directly to real-world practice!

Have you studied Python syntax but felt lost when it came to actually handling data? You know you need to learn NumPy and Pandas, but if you've been wondering where to start and how to connect them, this PART 2 is the answer. In PART 2 of our 50-lecture data analysis curriculum, you will experience the step-by-step process of loading, cleaning, processing, and statistically interpreting real data. You won't just learn libraries and syntax; you will establish criteria for which tools to choose in specific situations. PART 2 is the turning point where you move from simply knowing Python code to actually being able to handle data.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

It is configured to allow you to learn programming languages (Python, Terraform) for the cloud. You can directly create and apply simple yet tedious repetitive tasks, track when and how you deployed, and implement your company's unique policies that specific solutions cannot address. Specifically, we will apply a security architecture using Terraform, the most popular IaC (Infrastructure as Code) application, and also proceed with creating an ultra-simple dashboard using Python!

AI that thinks and adapts? Now you can build it yourself. Master the core of reinforcement learning with intuitive explanations and code, not complex theories, and grow into a 'practical developer' through finance and industry projects.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

Build data-driven investment strategies with Python quant investing and put them into practice. You can implement various asset allocation strategies and ultimately create your own unique investment strategy.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

Through this course, you can learn SQL and database fundamentals, SQL syntax, database design for practical applications, database utilization through programming, and data analysis use cases.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

Let's build a solid foundation in Python and solve data analysis problems!

Information security is difficult and too technical? No. Start learning the basics of information security to create a secure web right now!