Phân tích dữ liệu và bảo mật CNTT bằng 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.

The most difficult thing when malware is distributed is script obfuscation. Understand the obfuscation technique and analyze the malware executable file that is distributed after decrypting it.

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 can understand the integrated log analysis construction step by step through practice using ELK, and it presents a method to visualize the logs of each system by integrating them. It can be used in various fields such as general data analysis utilization, breach incident analysis response, etc.

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. 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.

In mock hacking practice, mock hacking of iOS mobile apps is now essential! This is a basic lecture for those who are new to iOS app diagnosis. It consists of basic prerequisite knowledge required for diagnosis and practical training centered on the mock hacking work.

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

Learn how to use Notion, the next hottest app after Evernote, step-by-step from the beginning with a focus on practice.

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.

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

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

When you think of IoT (Internet of Things), the first thing that comes to mind is Raspberry Pi. We will cover everything from the basic installation process of Raspberry Pi to sensor control, building and utilizing various servers, and cloud connection.

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.

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.

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.

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.

The most important part of the security response and security control work is to monitor and remove potential security threats to your company/customer services in advance. Let’s establish and utilize a security threat monitoring plan using the OSINT search service Criminal IP.

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.

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.

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.

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

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.

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.

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

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

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>.

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.

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

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.

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.

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'?

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

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

Learn how to collect data from the web and create a supervised learning model for machine learning!

This course is designed for practitioners who are just starting infrastructure security audits or are consuming significant resources on manual inspections. It's a hands-on process where we build a fully automated audit system together that automates inspection items based on Electronic Financial Supervisory Regulations, performs batch inspections of dozens to hundreds of servers through Ansible, and visualizes results using Django with filtering and Excel download capabilities.

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