Data Analysis and IT Security Using Python

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.

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 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 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.

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.

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.

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.

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.

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

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.

From beginners to practitioners who are curious about mock hacking work and web application vulnerabilities, it can be viewed. The following contents are covered: Bee-box is a virtual environment where bWAPP (buggy Web Application), an open source web application that can attack web vulnerabilities, is installed, and it includes the latest system attack techniques and the difficulty level is adjusted for each item.

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.

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

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

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.

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.

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

This course teaches you how to analyze and visualize data using pandas, Python's powerful data analysis library.

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!

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.

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 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.

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.

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>.

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

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

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.

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'?

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.

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 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.

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.

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

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