Marketing Data Fundamentals Completed in 2 Hours [Marketing Data Literacy for Those Who Gave Up on Math]

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

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

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

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

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

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.

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

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 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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

Search Engine Optimization & Google Analytics Mastery is a practical, results-focused program designed to help you grow websites through organic search and measure performance with precision. This bundle combines SEO strategy, Google Analytics 4, and Google Tag Manager to give you a complete system for attracting the right traffic and making informed decisions based on real data.

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!

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.

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!

This is a free lecture designed to help those who are new to TEXTOM easily acquire text mining and big data analysis skills through hands-on exercises with examples, rather than focusing on fundamental theoretical explanations.

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 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.

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.

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

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

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.

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.

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.