실무에서 통하는 빅데이터 분석 - Pandas(판다스) 실전 강의

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++.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this course, you will learn about database concepts and related terms (tables, rows, columns, etc.), as well as the basic usage of the Notion database.

This course is a hands-on program where you learn the core syntax and applications of frontend web programming and apply them to actual portfolio creation. Learners will progressively master everything from basic syntax of HTML, CSS, and JavaScript to the latest frontend technologies, directly experiencing the process of implementing web interfaces and handling dynamic functionality. Additionally, through various examples frequently used in practice, you can naturally acquire efficient coding techniques and real development workflows. Through this course, learners can go beyond simple syntax memorization to understand the connected workflow from web page planning–design–implementation, and based on this, complete their own portfolio. Furthermore, this course will serve as a solid stepping stone for growing into a frontend developer, providing great help as an introductory course for learners new to web development and as a practical supplementary course for those wanting to build hands-on experience.

This course is a hands-on program focused on learning the core syntax and application methods of frontend web programming and applying them to actual portfolio creation. Learners will progressively master everything from basic syntax including HTML, CSS, and JavaScript to the latest frontend technologies, directly experiencing the process of web interface implementation and dynamic functionality handling. Additionally, through various examples frequently used in practice, learners can naturally acquire efficient coding techniques and real development workflows. Through this course, learners will move beyond simple syntax memorization to understand the connected workflow from web page planning–design–implementation, and based on this understanding, they can complete their own portfolio. Furthermore, this course will serve as a solid stepping stone for growing into a frontend developer, providing great help as an introductory course for learners new to web development and as a practical supplementary course for those looking to build hands-on experience.

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

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)

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)

This course covers practical MS Word tips that can be immediately applied in the workplace. Beyond simple document creation functions, it provides various practical know-how to enable efficient and professional document work. You can learn practical skills that will increase work efficiency, such as document editing, formatting, paragraph and table utilization that are frequently encountered in the workplace.

Learn the key features of Illustration CC 2020 to quickly and easily utilize illustrations.

Python with easy and intuitive grammar! Learn Python, a renowned introductory programming language, from the basics to practice! In this lecture, you will learn Python functions and lists.

Notion's powerful and convenient database features allow even beginners to easily build a DB. In this lecture, you will learn about data sorting, filters, and advanced part features such as DB relationships and rollup functions.

This course is for those who are new to After Effects, and explains the overall usage method focusing on the most basic contents, and learns the basic process of motion work through simple tasks.

Learn the key features of Photoshop CC 2020 to use Photoshop easily and quickly.

This course focuses on learning the fundamental concepts of algorithms using the JAVA language, with an emphasis on simultaneously developing programming thinking skills and problem-solving abilities. Additionally, it systematically covers the large-scale application development procedures used in corporate environments, allowing students to learn the analysis and design processes required in practical work. Through this, learners can go beyond simple coding abilities to become familiar with the overall system analysis and design process and strengthen their practical application skills. By learning step-by-step from basics to practical procedures through this course, students can build a foundation for growing into developers, system engineers, and IT planners.

This course goes beyond the React beginner level and is an intermediate learning course that intensively covers the principles and usage of Hooks, which are most frequently utilized in practical development. Through Hooks, the core tool of functional components, you can learn step-by-step how to implement state management, lifecycle control, performance optimization, and more. In particular, it systematically organizes the roles and usage patterns of basic Hooks like useState and useEffect, as well as advanced Hooks such as useRef, useMemo, and useCallback, and is structured to help you understand which Hook to choose for different situations. Through practical examples, you'll go beyond simple code writing to experience: State management optimization between components Prevention of unnecessary rendering Dynamic data management and DOM control This allows you to develop the intuition to solve problems frequently encountered in real projects. Upon completing this course, you'll master Hook-based development flow, which is the core of React, and be able to confidently apply it to more complex application structures.

This course is a course to learn and utilize the OBS Studio program.

Learn the basics of using AutoCAD and the basic functions for 2D CAD work.

The Level 2 Computerized Accounting Certificate is a certificate that evaluates the ability to use accounting information. This course aims to pass the Level 2 Computerized Accounting Exam using the K-Leap program organized by the Korea Association of Certified Public Accountants. This is a course for accounting beginners that teaches accounting principles and the ability to use the K-Leap program.

This course is designed to learn the JavaScript programming language along with the latest ES6 grammar.

Django is a Python-based web application framework. In Part 1, you will learn about Django and create web applications.

This content provides basic usage of data visualization using Tableau Public. It is structured so that even non-data experts can easily approach and follow, and guides you through how to create effective reports using visualization charts that can be applied immediately in practice.

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.

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 lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

Let's understand and try policy evaluation with R and R Studio!

What does the 'Business Information Visualization Competency Certificate' course teach? This certificate course focuses on developing the ability to analyze data well, visualize it in an easy-to-understand way, and clearly and effectively convey necessary information when making important decisions in a company or organization. In simple terms, it's a course that teaches not just how to view data, but how to find the hidden meaning within it, and how to express it using images, tables, and graphs so that it can be clearly explained to others. Through this course, you will: Develop the ability to think strategically through data, cultivate practical skills immediately applicable to real work, and enhance your expertise and competitiveness. Through this lecture, develop the ability to connect management and data, and take another step forward as an expert in understanding and explaining data.

It's now an era where data speaks, not intuition. Learn data analysis easily with ChatGPT!

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

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

This is packed with things I want to tell junior PM/POs who are struggling because they don't have a good mentor. I will generously share various techniques and Mental Models used by effective PM/POs.

We will help those preparing for the Big Data Analysis Engineer Practical Exam with R to prepare for the exam. We will select and inform you of only the essential parts based on the questions that were on the Big Data Analysis Engineer Practical Exam. If you complete the course, you will be one step closer to passing the Big Data Analysis Engineer Practical Exam. We have reviewed the recent exam questions and uploaded related scripts and data. Also check out the latest exam information.

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 a course for PMs who want to utilize data. This course covers the entire process of utilizing data in the PM role, including the flow of work from day 1 of a job change through the start and end of a project. It is an introductory data course that covers data-driven thinking, logical thinking, metric definition, log design, experiment design, creating a data culture, and more, to help you develop critical thinking skills. Although created as a course for PMs, it is structured with content that data analysts would also find beneficial (in fact, many analysts have taken the course). In addition, many people in marketing, design, and business planning roles are also taking the course.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

Let's use the R language, which processes data easily and conveniently, to develop computer program utilization skills related to one's major, even for non-computer majors!

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.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

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!