파이썬 시각화와 대시보드 실전 (Seaborn과 PlotlyDash 활용) Part.3

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 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++.

Learn how to use office programs (Excel) required by business practitioners and acquire work processing skills suitable for the work environment.

This is a lecture where you can learn JavaScript through theory and practice. We explain step by step so that even those who are new to coding can easily understand. Part 1 covers an overview of JavaScript, variables, data types, operators, control statements, and the basics of jQuery.

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

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 is an Adobe Lightroom course for photography and digital image processing.

This course will teach you how to create an EPUB format e-book using Sigil and learn various techniques required for creating e-books.

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.

We will learn the basics of animation and motion production features of Cinema 4D R23 software.

The Information Processing Industrial Engineer written exam course is a learning program designed to help test-takers prepare for the exam more systematically. This course focuses on developing logical thinking skills and problem-solving abilities so that even learners who are new to the accounting and IT fields can easily follow along. Through a systematic curriculum, we have organized the core theories frequently tested in exams and structured the content to enable deep understanding of related concepts. Additionally, through learning that reflects actual exam formats, we help test-takers efficiently prepare for the exam. Through this course, learners can build their skills step by step toward obtaining the Information Processing Industrial Engineer certification and acquire foundational knowledge that can be utilized in practical work settings.

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Second Part)

You can acquire the qualification by learning and utilizing the basic knowledge of database construction, the third subject of the Information Processing Engineer written test.

You can obtain a certificate by learning and utilizing basic knowledge about software development, the second subject of the Information Processing Engineer written test.

This is a lecture to prepare for the Information Processing Engineer practical subject certification, and you can acquire basic knowledge to understand the development requirements of information systems, etc. (Part 1)

You can acquire basic knowledge on programming language utilization, the fourth subject of the Information Processing Engineer written test, and obtain a certificate by utilizing it.

You can obtain a certificate by learning and utilizing basic knowledge about software design, the first subject in the written test for the Information Processing Engineer exam.

You can obtain a certificate by learning and utilizing basic knowledge on information system construction management, the fifth subject of the Information Processing Engineer written test.

This lecture is designed to prepare for the Information Security Engineer written exam, and it will help you concisely summarize the core theories and strengthen your practical skills through problem solving. Take a step closer to obtaining the Information Security Engineer certification with analysis of past questions and practical preparation strategies.

This course will help you learn JavaScript through theory and practice. It explains step by step so that even beginners can easily understand. Part 2 covers JavaScript functions and events, types of functions, and core libraries.

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.

Do you have data but feel lost on how to read and process it in Python? Don't worry. Pandas can handle it with its magic. Pandas is the most powerful, efficient, and useful data processing library. Skill-UP your data preprocessing with Pandas! Insights galore!

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

Python with easy and intuitive grammar! Learn Python, which is famous as an introductory programming language, from the basics to practice! In this course, you will learn data structures (stacks, queues, tuples, sets, dictionaries, strings, collections module).

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

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.

"Automating your work? Who doesn't know what's good for them?" You don't need to use a knife to catch a chicken. I want to show you that 10 lines of simple code are more practical than complex crawlers on the Internet.

This is a course to learn the Python programming language with 100 problems. This course consists of a total of 3 parts, and in Part 3, you will solve problems on the topics of OPP, algorithms, strings, modules, and certification preparation.

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.

Solve coding test problems using Python.

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.

From the basics of Python to applications, everything you can do with Python, including web, data analysis, crawling, business automation, GUI, and programming, is covered in one course.

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.

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Online bootcamp in Jeju! Create your own service quickly! :)

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

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