Pythonを活用したデータ分析とITセキュリティ

We cover everything from introduction to utilization of the framework for flexibly running distributed systems in a container environment using “Kubernetes,” an open source virtualization project based on containers.

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.

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.

This lecture will help you understand cracking methods and solution diagnosis methods through reverse analysis of Windows applications. We will teach you how to apply OllyDBG step by step and the various techniques applied to Windows applications from the basics.

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.

I always have this question in my mind: 'What is the fastest way to acquire digital forensics skills?' Many people often ask me, "How can I learn forensics skills quickly?" In this course, you will acquire and understand various forensics skills through the skills required for the digital forensics challenge and solving major challenge problems held in Korea.

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.

This lecture joyfully teaches how to use OpenAI's ChatGPT. It's recommended to joyfully ask the chatbot questions and consider its use in your field.

Digital forensic analysis techniques are used in many fields, but it is always difficult to study. This course is composed of theory and practice to make it easy to follow the many uses of digital forensic analysis.

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.

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.

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 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.

If you want to learn about various malware sample analysis methods after studying introduction to malware analysis and reversing, then you must take this course.

This course will help you improve your work skills by utilizing PowerShell in your field.

Through the lectures, the Protostar tutorial helps you understand the principles of the system attack techniques through several example programs.

You can understand the Windows operating system structure and memory structure, and it covers in detail how to analyze malware using information stored in memory. It also covers how to directly create a Volatility plugin that is used as a memory analysis tool and achieve important information acquisition. It is highly recommended for those who have chosen a career as a malware analyst or a breach response analyst.

We covered everything about Metasploit, a vulnerability analysis framework used for mock hacking and vulnerability analysis work.

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.

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.

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

Financial data such as stocks, exchange rates, coins, real estate, and bonds are easily accessible and provide us with opportunities to make money, but most people miss valuable opportunities because they do not know their characteristics and how to handle them. Through this lecture, you can learn how to understand the meaning of various financial data and how to analyze them using Python.

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.

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.

We will introduce the types of big data analysis techniques and Python libraries for analysis, and the basics of statistical analysis techniques and machine learning analysis techniques.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

Leveraging Python's basic syntax and popular libraries Auto-generating Python syntax and library code using ChatGPT

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

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

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

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!

Let's build a foundation for using Python and solve data analysis problems!

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

Hello! Have you ever gotten tired of repeatedly writing the same code over and over again while doing data analysis? 😫 Now let's give your projects wings with PyCaret! 🚀 This course will teach you the secret to automating most of the tedious and complex machine learning processes with just 5 lines of code. Here's how this course will transform you! ✨ Master Real-World Projects: 📈Customer purchase prediction (classification), 📉Medical cost prediction (regression), 🧩Customer grouping (clustering), ⏳Airline passenger prediction (time series)! You can develop 'real' problem-solving skills by following along with 4 core projects hands-on. Acquire Expert Skills: But that's not all! 🤖 We'll also teach you expert skills like managing your models with MLOps and creating API servers with just a few clicks. Pretty amazing, right? Protect Your Work-Life Balance: Most importantly, we'll drastically reduce your repetitive tasks and help you focus only on core analysis. Leaving work on time is a bonus! 😉 Whether you're not yet comfortable with coding or you're a current professional wanting to explosively boost productivity, everyone is welcome! 👋 Shall we transform together into a '10x faster data scientist'?

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

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.

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

Those who have learned the basics of Python will learn how to utilize Python after watching this lecture.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.