Python Visualization and Dashboard Practice (Using Seaborn and PlotlyDash) Part.1

This is a series of video lectures for AWS beginners and college students enrolled in AWS Educate. We will briefly introduce the AWS registration process and free tier services.

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

This is a hands-on course where you'll build an AI-based autonomous driving car using Raspberry Pi and various sensors.

This is a basic C++ course for those who are new to C++ programming. You will learn and practice how to utilize C++ along with an overview of programming and the basic grammar of C++.

This is an introductory course on 3D graphics modeling using the 3D modeling software Autodesk Maya. The course consists of four parts, and in this section, we will start with tool installation and learn the basic functions of Maya.

This course is an advanced program that delves deeply into C# multi-threading and asynchronous programming, structured to help you systematically learn concurrency handling techniques frequently used in practice. First, you will understand the basic concepts of threads and practice how to create and manage them. You will learn how to finely control thread states and behaviors through various thread methods, the ThreadState enumeration, and Flags attributes. Next, you will practice the differences and use cases of **Interrupt() and Abort()**, and learn how to reliably implement synchronization between threads using the **lock keyword and the Monitor class (Enter, Exit, Wait, Pulse)**. Furthermore, the course covers asynchronous programming techniques essential in modern development environments, including hands-on practice with parallel programming using the Task and Task<TResult> classes, as well as the Parallel class. Finally, through the async/await keywords, you will understand the differences between synchronous and asynchronous code and gain experience applying more efficient asynchronous processing methods to projects. Through this lecture, learners will acquire the ability to develop high-performance applications using multi-threading and asynchronous programming, gaining confidence in solving concurrency issues and implementing efficient programs in real-world scenarios.

This course is a practical-focused program that covers the comprehensive utilization of **Google Sheets, the most widely used spreadsheet program in the world**. Starting with basic functions such as fundamental input, formatting, and cell management that even first-time users can easily follow, the course progressively advances to professional features including advanced function utilization, data analysis and visualization, conditional formatting, and pivot tables through step-by-step learning. Additionally, by focusing intensively on Google Sheets' unique strengths of real-time collaboration tools and cloud-based sharing features, learners can experience an efficient work environment where multiple people can simultaneously create, edit, and review documents. Through this course, learners can go beyond simple spreadsheet usage to simultaneously strengthen their data-driven decision-making abilities and collaboration capabilities, significantly improving work productivity.

This course is a step-by-step learning program that covers network programming from fundamentals to hands-on practice. First, we examine the origins and development of the Internet to understand how today's network environment was formed. Next, we learn the structure and operating principles of the TCP/IP protocol, which is the core of networking, to build a theoretical foundation. In the practical stage, we implement actual network communication using the Socket class, TcpListener, and TcpClient classes provided by C#, and experience client-server architecture. Through this, you can understand the actual data transmission and reception process and network connection procedures beyond simple theory. Finally, we visually implement network programs by creating user interfaces (UI) using WinForm. We practice enabling connection, message transmission, and reception through button clicks, developing the ability to create network application programs that can be utilized in real-world environments.

This course is a lecture that teaches C# Windows Forms (WinForm) application development step by step from basics to hands-on practice. First, you will understand how Windows Forms applications work and learn the structure and usage of WinForm classes and Application classes. Through this, you will become familiar with the execution flow of applications and build a foundation through actual code practice. In the following lessons, you will design forms using the form designer tool and implement **user interfaces (UI) utilizing various controls** such as buttons, text boxes, and labels. Rather than stopping at simple UI composition, you will develop the ability to create programs applicable in real work by adding event handling and interactive features. Additionally, you will practice asynchronous task processing methods in the WinForm environment and learn techniques to simultaneously improve application performance and user experience. Through this course, learners can solidly build the fundamentals of desktop application development in Windows environments and acquire WinForm programming capabilities applicable to real work.

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

This is a basic machine learning course that briefly covers the basic machine learning theory for those who are new to machine learning.

This course is designed to help office workers and practitioners utilize office programs more proficiently. Rather than simply learning the functions, the learning process focuses on real-world business scenarios such as document creation, data management, and presentation production. Through this course, students will systematically learn everything from the basics to the practical application of office programs like Word, Excel, and PowerPoint, naturally acquiring the skills to apply various functions to their specific tasks. This will help increase the efficiency of simple repetitive tasks and further strengthen practical competencies such as report writing and data analysis. In short, this course is a practical learning program that provides productivity-enhancing skills that can be applied immediately in the field, not only for beginners new to office programs but also for professionals who already have experience using them.

This is an introductory 3D graphics modeling course using the 3D modeling software Autodesk Maya. The course consists of four parts in total, and this specific session focuses intensively on animation techniques using Maya.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

This tutorial will show you how to use Bootstrap to create responsive web pages that change layout depending on the device.

This course is designed to provide basic knowledge for those who are interested in mechanical drawing and design, those who are aiming to obtain qualifications in the field, those who wish to advance into a related field, or those who wish to improve their expertise.

This course is designed to prepare you for the Information Security Engineer written exam by concisely summarizing core theories and strengthening practical skills through problem-solving. Take a step closer to obtaining your Information Security Engineer certification with past exam analysis and practical preparation strategies.

When you want to try using Figma, a UI design authoring tool, or when you want to create something with Figma, you'll practice the most basic usage methods.

This course is a basic introductory program for learning how to utilize the Raspberry Pi Pico and various sensors. Learners will understand the fundamental functions of the Raspberry Pi Pico and acquire the ability to control various sensors using it. Based on a foundational understanding of the Raspberry Pi Pico, this course is structured to step-by-step improve your skills in utilizing sensors.

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

This course focuses on developing immediately applicable visualization skills by utilizing Seaborn, a core tool for data visualization, and Plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can simultaneously improve your ability to create insight-driven visual materials and implement web-based dashboards.

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.

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling programming.

Python, which everyone is excited to learn! At the speed that Koreans like! In 3 hours! We'll teach you!

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

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.

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

You will thoroughly understand the principles!

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

Make AI data analysis and modeling results into a Web Program.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

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

A lecture consisting of special lectures by professors from Canadian national universities. It covers Python, Code, Scratch programming introduction/basics and practical applications. After completing the lecture, receive a global certificate from Codesprint : )

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.