Phân tích Big Data thực tế trong công việc - Khóa học thực chiến Pandas

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 an AI music generation introductory program designed so that even learners who are new to artificial intelligence (AI) technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and proceed step-by-step through hands-on practice to create your own music using these tools. Going beyond simply pressing buttons to make music, this course guides you to understand the principles of AI models and the key factors that influence music generation, and to complete creative results by adjusting the desired atmosphere, genre, and instrumental composition. Upon completing the course, you will gain confidence in using AI in a friendly manner, along with AI music generation capabilities that can be applied to various fields such as daily life, projects, and content creation.

This course is systematically designed for learners aiming to obtain MOS 365 certification. Rather than limiting itself to exam-focused learning, it is designed to strengthen both certification preparation and practical application skills by focusing on functions frequently used in actual office environments. Through this course, students will learn the core areas of the MOS 365 exam, including Word, Excel, and PowerPoint, while naturally acquiring the main functions of each program and practical application cases. Since this course covers a wide range from basic document creation to advanced feature utilization, students can secure both certification and the document processing and data utilization skills necessary for job performance. Additionally, it is structured to help develop practical skills and improve exam adaptability through examples and problem-solving similar to the types that appear on actual exams. Therefore, this course will be of great help not only to learners preparing for MOS 365 certification, but also to office workers who want to develop efficient document work skills in office and administrative practice.

This course is systematically designed for learners aiming to obtain MOS 365 certification. Rather than focusing solely on exam preparation, it is structured to simultaneously strengthen both certification readiness and practical application skills by covering functions frequently used in actual office environments. Through this course, students will learn the core areas of the MOS 365 exam, including Word, Excel, and PowerPoint, while naturally acquiring the main functions of each program and practical application cases. Since this course covers a wide range from basic document creation to advanced feature utilization, students can secure both certification achievement and the document processing and data utilization skills necessary for job performance. Additionally, it is structured to help develop practical test-taking skills and improve exam adaptability through examples and problem-solving exercises similar to those that appear on actual exams. Therefore, this course will be of great help not only to learners preparing for MOS 365 certification, but also to office workers who want to develop efficient document processing skills for office and administrative work.

This course is systematically designed for learners aiming to obtain the MOS 365 certification. Rather than simply focusing on exam preparation, it is designed to strengthen both certification readiness and practical application skills by covering functions frequently used in actual office environments. Through this course, students will learn the core areas of the MOS 365 exam, including Word, Excel, and PowerPoint, while naturally acquiring the main functions of each program and practical application cases. Since this course covers a wide range from basic document creation to advanced feature utilization, students can secure both certification achievement and the document processing and data utilization skills necessary for job performance. Additionally, it is structured to help develop practical skills and improve exam adaptability through examples and problem-solving similar to the types that appear on actual exams. Therefore, this course will be of great help not only to learners preparing for the MOS 365 certification, but also to office workers who want to develop efficient document work capabilities in office and administrative practice.

This course is designed to prepare for the Linux Master Level 1 first and second round certification exams. The Linux Master Level 1 certification evaluates expertise in practical areas such as Linux system operation, management, networking, and security, providing essential theory and hands-on practice for students preparing for this exam. Through this course, learners can systematically study the core structure and management methods of the Linux operating system, and acquire commands and system management skills applicable in practical work. Additionally, it is structured to strengthen exam adaptability through learning that reflects actual past exam question types and to build competency as a Linux professional.

This is a Photoshop course for beginners that will teach you the most basic and important functions of the graphic editing tool Photoshop.

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 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 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 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 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.

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.

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.

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 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.

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

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.

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

Big data is being developed by integrating with various business areas. In particular, big data is useful for identifying the latest business trends. Therefore, after studying big data application cases in marketing, finance, and healthcare, we aim to learn how to extract data patterns through a technical understanding of big data platform construction and analysis techniques, and apply them to business. **Business environment analysis and new business creation through big data!** This is the beginning of the concerns for all professionals seeking new business environments in the era of the 4th Industrial Revolution.

This course systematically covers everything from basic data concepts to advanced analysis techniques, designed to equip learners with data-driven decision-making capabilities. First, you'll understand the concepts and characteristics of data, information, knowledge, and insights, examine types and examples of structured, semi-structured, and unstructured data, and learn what role data plays in actual business management and analysis. Next, you'll learn the differences between nominal, ordinal, and categorical data as well as discrete, continuous, and numerical data, and grasp the flow of modern data utilization through the data lifecycle, the background of big data emergence, its effects and characteristics. You'll also learn big data-related technologies and interpretation perspectives, importance, and basic exploratory data analysis (EDA) methods to avoid interpretation errors. Finally, you'll cover the fundamentals of statistics, learning descriptive and inferential statistics, probability and probability distributions, events and sample spaces, discrete and continuous probability distributions, and acquire methods to transform data into valuable knowledge through data mining techniques. Through this course, learners will develop analytical capabilities that go beyond simple data understanding to solve real problems and formulate strategies.

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.

Learn various features of Looker Studio (formerly Google Data Studio) using GA4 demo data. This includes explanations and hands-on practice with Looker Studio's visualization elements. In particular, marketers and planners who are not familiar with SQL can learn easy ways to integrate and use BigQuery data with Looker Studio. You can learn methods to create dashboards using Looker Studio.

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.

"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.

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 special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

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.

Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!

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.

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.

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.

Did you know that there are different types of data analysts? If you want to know everything about in-house data analysts and consulting data analysts, come to this seminar!

This is a specific and practical course for Google Analytics beginners. Instead of focusing on fragmented features, you can learn the practical analysis process using GA4 by conducting scenario-based analysis. It is continuously being updated to match the latest GA4 revisions!

Learn the problem definition and hypothesis formulation process, core competencies for data analysis!

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

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.

Data analyst job prep: Lost on where to begin? Get hints at this September seminar!

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.