Data Analysis and IT Security Using Python

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.

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

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.

In the second lecture of Python School, apply business automation to various fields such as IT security and IT development.

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.!!

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

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

We will be holding an online lecture on the topic of “Understanding/Practicing File Systems through Hacking Contest Problems.”

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.

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.

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.

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

Learn the content that will appear on the exam to pass the Level 2 Digital Forensics Specialist written exam.

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.

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.

The most commonly used tool for web vulnerability analysis (hacking) is the web proxy server. Among them, BurpSuite is used the most. BurpSuite is planned to be regularly updated to help with web mock hacking.

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.

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

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.

Let's understand data analysis methods using Python, analyze and visualize various types of data on our own, and organize an outline of our data story!

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!

We guide non-majors and beginners to quickly obtain the Big Data Analytics Engineer practical certification! Theory lightly, practice thoroughly - even without complex background knowledge, we focus on learning only the essential points that appear on the exam, centered around past exam questions.

You can use Python to analyze large amounts of data and visualize the analyzed data in graph form so that you can easily understand it at a glance.

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.

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.

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

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.

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

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>.

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

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

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

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!

This is a Python basics course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with 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.

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.