Hoàn thành cơ bản dữ liệu marketing trong 2 giờ [Kiến thức cơ bản về dữ liệu marketing dành cho người sợ toán]

The Real SEO Fundamentals to Latest AI Applications That Marketers Need to Know

Even beginners can create decent-looking images with minimal Figma features and design formulas Plus advertising planning methods and hands-on image creation practice

A practical beginner course that completes SQL fundamentals in just 3 hours

By looking at examples of documents in each field that the instructor has processed, you will practice developing a perspective on viewing documents.

You can establish both the direction of your personal statement and the framework of your portfolio at the same time.

This is a lecture that helps new employees and prospective new hires by organizing essential manners for greetings, emails, phone calls, reporting, messaging, and more within one hour, enabling immediate application in practical work situations.

Essential concepts every marketer must know - complete guide! Plus insider tips for building experience and skills even outside of companies!

The ultimate productivity tool, Notion! How to use it properly!

This is a conference for POs/PMs and planners who view products from the customer's perspective and connect them to business.

A class on analyzing customer/sales data with Excel, even without R or Python!

Those who are already good at using Excel can work more effectively, efficiently, and in less time by using Google Spreadsheets.

This is a detailed lecture on how to use Mixpanel, which is hard to find in Korea. Learn about Mixpanel through this lecture and improve your data literacy skills!

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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!

You can learn the core concepts of GA4 (Google Analytics) e-commerce setup, which is too difficult to learn on your own by searching the internet, through hands-on practice. Performance marketers and beginner developers who are setting up GA4 e-commerce for the first time can easily understand by practicing step-by-step setup on a cafe24 demo shopping mall. Since the developer's role is handled by chatgpt during the practice, marketers and PM/planners without specialized development knowledge can also learn about GA4 e-commerce setup.

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!

If you are thinking about using data in your work, get some great tips from this seminar.

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.

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.

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.

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.

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.

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

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.