Business Information Visualization Skills (Written)(2024~2026) - Subject 2 Data Interpretation and Utilization

This is a lecture on Rhino 3D, which is a basic tool for product design.

This is a lecture on Rhino 3D, which is a basic tool for product design.

This course is an advanced program that provides in-depth coverage of C# multithreading and asynchronous programming, systematically designed to help you learn concurrency handling techniques frequently used in real-world applications. First, you'll understand the basic concepts of threads and practice creating and managing threads, learning to precisely control thread states and behaviors through various thread methods, ThreadState enumeration, and Flags properties. Next, you'll practice the differences and use cases between **Interrupt() and Abort()**, and learn how to reliably implement thread synchronization using **lock keywords and Monitor class (Enter, Exit, Wait, Pulse)**. Additionally, you'll cover asynchronous programming techniques essential in modern development environments, practicing parallel programming using Task and Task<TResult> classes, and the Parallel class. Finally, through async/await keywords, you'll understand the differences between synchronous and asynchronous code and gain experience applying more efficient asynchronous processing methods to projects. Through this course, learners will acquire the ability to develop high-performance applications using multithreading and asynchronous programming, and gain confidence in solving concurrency issues and implementing efficient programs in real-world scenarios.

This is a lecture on the application of Revit (Autodesk Revit) for implementing BIM (Building Information Modeling).

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

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.

Through this course, learners can acquire the ability to obtain a computer proficiency certificate. This course is designed to meet the examination criteria for obtaining a computer proficiency certificate. You can learn and utilize basic knowledge of the computer proficiency subject to prepare for obtaining the certificate.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

You can learn the basic functions needed for 3D effects and motion graphics work in the Maya 2020 version. (Part 2)

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 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.

Run effective advertising with Google AdWords

This is an assembler course provided by Smoothie TV.

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.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

This course is a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

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.

Learn step-by-step how to easily and elegantly complete spreadsheets and data using Numbers in a Mac environment. A complete Numbers guide that covers everything from basic data entry to functions, chart utilization, and collaboration, all focused on practical application!

This course is designed for all learners, from those just starting with data analysis to those looking to apply it in practical work, to systematically learn the entire process of data processing and visualization using R. First, in the basic setup stage, we start with installing the development environment and learn how to create DataFrames and Series, building a solid foundation in the fundamentals needed for R programming. Next, we move on to learning core functions, focusing on hands-on practice with the most frequently used features in data analysis such as indexing, slicing, sorting, filtering, and handling missing values. After building the foundation, we expand to intermediate functions, intensively covering features essential for actual data analysis work such as date and time data processing, groupby operations, data merging (merge, concat), and function application (apply, lambda). Through this, you can develop the ability to handle complex data structures beyond simple data manipulation. Finally, in the visualization section, we cover various visualization techniques including line graphs, histograms, box plots, and time series graphs to learn how to express data more intuitively. Through visualization, you can also acquire the ability to effectively communicate analysis results. In particular, this course is structured not to stop at theoretical learning, but to allow immediate application of learned content through various examples and step-by-step practice. Therefore, students can naturally develop practical skills just by following the course and further secure data analysis capabilities that can be applied to actual projects.

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.

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

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.

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

This course is designed for those aiming to obtain the Data Architecture Semi-Professional (DAsP) certification. It provides a simple and systematic overview of essential exam topics, ranging from basic data architecture concepts to data modeling, data quality, and governance. The curriculum is structured to minimize complex theories and focus on frequently tested concepts, making it accessible for non-majors and beginners to learn without pressure. Build your fundamental skills in understanding data structurally while preparing for the DAsP certification.

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.

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!

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.

Data Analysis that Determines Online MD Performance! Learn essential data analysis and strategy formulation techniques necessary for MDs to maximize sales and profit in the e-commerce market.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

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.