32 Data Visualization Strategies - Basic Theory & Practice for Non-Majors

Even those who have never experienced even the basics of coding can create automation software with just a few clicks. I'm serious.

Introducing AI utilization methods perfectly tailored for office workers and civil servants, delivered directly by an instructor who has satisfied over 10,000 students through hundreds of invited lectures.

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

This is a lecture directly from the author of <Prompt Engineering>. Master the fundamentals to skillfully utilize various AIs such as ChatGPT, Gemini, and Claude!

Just follow the video and you'll have your own web page in no time! We'll even teach you how to optimize performance and marketing!

"The Fourth Industrial Revolution, AI factories... The terms are familiar, but can't you visualize the structure?" Smart Factory, often called the future of manufacturing. While related articles pour out and it appears as a required competency in job postings, the barrier feels far too high for non-majors. "Did you give up because of abbreviations that sound like alien languages, such as PLC, MES, or ERP?" "Are you afraid to even start because you lack knowledge in coding or engineering?" Don't worry. This lecture deals with 'structure,' not 'engineering.' Instead of complex text, we will help you complete a full map of the smart factory in your head using intuitive drawings and diagrams, just like assembling Lego blocks.

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

Digital transformation (DX) and AI transformation (AX) have now become essential competitive capabilities for both companies and individuals, rather than optional choices. This course is a practical, hands-on program that systematically covers everything from the core concepts of digital transformation to real-world success and failure cases, strategy development methods, execution roadmaps, and KPI design, amid the shift beyond the era of generative AI toward the era of AI agents and Physical AI. Through a variety of domestic and international case studies, we analyze the common strategies of successful companies. The course is structured to help anyone develop a digital innovation strategy applicable to their own organization and work using the six fundamental questions of DX (WHY, WHAT, WHERE, WHO, WHEN, HOW). This is a practical DX/AX strategy course for anyone who wants to learn not just about AI technology itself, but how to leverage it, when to adopt it, and what strategies to use for implementation.

"Smart Factory—it sounds cool, but can't quite picture it in your head?" The news talks about the 4th Industrial Revolution and AI factories every day, but when you actually look for information, it's full of "alien languages" like PLC, MES, ERP, and Edge Computing. What non-majors need isn't a complex circuit diagram, but a 'map' that shows how the whole system works. This course strips away difficult engineering jargon and explains everything about smart factories through intuitive illustrations and analogies that anyone can understand.

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

This is a coordination course. Coordination is the process of establishing a concept strategy that incorporates requirements and creating a prototype-style planning document before diving into design and development. This course is suitable for web planners preparing to become Project Leaders (PL).

This is a detailed and practical course for beginners to Google Analytics. Rather than covering isolated features, it guides you through scenario-based analyses so you can learn the practical process of conducting analysis with GA4. It is continuously updated to reflect the latest changes to GA4!

This course teaches the step-by-step procedures of web planning from A to Z—covering essential skills for SI and next-generation project web planners, including RFP analysis, interface definition, integrated design, test execution, and stabilization—and provides guidance on how to transition from a full-time employee to a freelancer to become a high-earning web planning maestro.

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is necessary to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence.

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You can learn the "service design" concepts and methods required when planning applications or web services based on LLM, a type of generative artificial intelligence (Generative AI).

1. Python coding study to obtain the AI certification, AICE Associate 2. Step-by-step Python coding study from basics to applications 3. Lectures by Professor Joongheon Kim of Korea University, a scholar in the field of AI

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.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

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.

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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.

[Up-to-Date Knowledge for Current Times] 1. Changes brought by AX, ChatGPT, and robot technology. 2. Commonalities of Blockbuster-Kodak Film-Nokia. 3. Five Current AX Keywords. - OOOO coin to maintain dollar hegemony. - Musk's OOOO to cut government operating costs. - Trump's OOOO strategic reserve. - China's OO kindergarten, OO receiving private education. - China's OO factory, with no workers, OO is no longer needed. 4. ChatGPT/Gemini/Grok - Write prompts based on previously learned content and compare results - Generate images with Claymotion infographics

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

Systematically learn over 60 IT terms encountered in practice, ranging from job postings to meeting minutes and incident reports. Understand service structures by dividing them into four layers, and acquire the essential vocabulary needed for collaborating with development teams and attending technical lectures.