파이썬을 활용한 데이터분석과 IT보안

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.

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

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.

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.

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.

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.

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

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.

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.

This is the fifth series of integrated courses that cover everything from the introduction to practical application of the ISMS-P certification auditor qualification examination, "ISMS-P certification auditor qualification examination basic/practical course - Personal information protection laws (2022 version)". Based on actual information protection practice cases, you can also learn the detailed work of the certification system and information protection management system.

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.

Network packet analysis is essential when analyzing breach incidents and vulnerabilities. Among them, Wireshark is the most widely used, and this lecture covers the perfect use of Wireshark and breach incident analysis cases, and provides time to understand them.

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.

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.

This lecture is designed to make personal information protection education interesting and ‘social engineering-based.’ Rather than covering the revisions to the Personal Information Protection Act, it focuses on real-life information protection threat cases and responses.

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.

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.

You will be able to open the process and manipulate the values you want through the Cheat Engine tutorial. Have fun practicing from installing the tutorial to the bot that automatically breaks it!

This course is a guide for those who have chosen a career in IT security or those who wish to pursue it.

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.

This course is a valuable course that will free you from simple repetitive tasks and teach you web crawling in 12 hours. Smart Talent Campus, a big data specialized education institute, has prepared an efficient and up-to-date curriculum for 2022 for those who want to collect data efficiently based on specialized education methods accumulated over many years!

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.

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.

Finally, a probability and statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice.

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.

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.

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.

Let's build a foundation for using 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!

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!

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

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!

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.

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.

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.