Data Analysis and IT Security Using Python

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

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 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 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.

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.

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.

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.

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.

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

This course has been prepared with “subtitles” for those who have chosen a career in mock hacking and are curious about how to prepare.

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

This lecture is a free special lecture for those who have chosen a career in IT security from Boan Project (www.boanproject.com). It will be especially helpful if you have chosen a career in mock hacking.

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.

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 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 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.

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.

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.

This is not an investment lecture. It covers data collection, analysis, and visualization using stock market data. You will work with various data formats and learn various text preprocessing techniques. It covers visualization techniques for time-series data, methods for representing scales, and several techniques for interpreting stock price data. This course is about learning how to gain insights through data analysis. It is designed so that the concepts learned through stock price data can be applied to collecting, analyzing, and visualizing other time-series data such as demand, inventory, sales, and traffic volume.

There was a rumor that Ediya Coffee always opens its stores near Starbucks. How much of a difference is there really between the store locations of Ediya and Starbucks? Will the real estate price fluctuation trends from 2013 to 2019 be reflected in apartment pre-sale prices as well? What kind of parks are in my neighborhood? How can we best utilize the data available on the Public Data Portal? The goal is to become familiar with Python and various data analysis libraries by working with different types of data through public data.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

Creating Your Own Data Analysis Portfolio with Free Gemini CLI Vibe Coding: Data Collection, Analysis, Reporting, and Dashboard Automation Even if you are new to data collection, you can collect, analyze, visualize, and create reports and dashboards like a professional data analyst once you master the principles, prompt engineering, and VSCode. From Python data collection to report writing with Gemini CLI and VSCode: Learn prompt engineering and troubleshooting methods for foolproof data collection and analysis.

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!

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

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.

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.

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 the basics to 7 domain projects, completing the A to Z of deep learning (41 lectures in total)." Go beyond simply calling models and learn how to build clean, efficient deep learning pipelines using PyTorch Lightning, the current industry trend. Grow into a confident AI engineer capable of handling any data by directly implementing 7 projects, ranging from stock price prediction to generative AI, medical imaging, and sound analysis.

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.

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

This is the easiest introductory course for those new to information security. You can get a feel for real-world tasks by experiencing the five core roles: planning, development, operations, assessment, and monitoring. Start building your own career roadmap for employment or a career transition.

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

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

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.

🚀 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.