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 to use GA4 immediately in practice while creating essential reports for GA4 utilization. You can learn specific examples of what reports to create and how to create them for data analysis. For practical analysis, the installation and usage of Microsoft Clarity, a heatmap tool, is also explained together.

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.

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.

Introduces methods for utilizing GA4 data in Bigquery. Using the GA4 Bigquery demo data publicly available in Bigquery from the Google Merchandise Store (https://www.googlemerchandisestore.com/), we introduce methods for marketers and planners to easily utilize GA4 Bigquery data, along with hands-on practice of basic SQL queries.

This is a Google Analytics utilization course for beginner/junior marketers. You can follow along and practice using Google Analytics, Google Tag Manager, Google Optimize, and Google Data Studio.

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.

Introduces methods for utilizing GA4 data in Bigquery. Using the GA4 Bigquery demo data publicly available in Bigquery from the Google Merchandise Store (https://www.googlemerchandisestore.com/), we introduce methods for marketers and planners to easily utilize GA4 Bigquery data, along with hands-on practice of basic SQL queries.

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.

"A course that allows you to build essential data analysis capabilities for marketers at once through Google Analytics! Let's learn the core functions of GA4, the latest version of Google Analytics!"

Want to solve product issues and create better services? Learn the core of usability testing and acquire skills immediately applicable in practice! In this lecture, from the basic concepts of usability testing to practical experience, Jeon Min-soo, a UX consultant with 30 years of experience, will impart effective testing methods and solution strategies based on over 100 project experiences. Check out the know-how of usability testing for better UX design, right in the lecture now!

Basic GA4 Theory Explanation for Beginners We'll explain the GA4 structure, theory, and events that no one else has told you about. (This is a basic theory lecture and does not include hands-on practice or reporting methods in this content.)

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.

Master the core of heuristic evaluation and usability analysis! You can compare and analyze your company's and competitors' designs, and develop the ability to efficiently identify problems. Significantly improve design quality with expert UX evaluation skills immediately applicable in practice!

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

This course provides UX principles and practical know-how necessary for planning and designing AI products. We will explore user-value-centered AI utilization methods, UX planning and design methods using AI, core UX principles and theories learned through everyday design cases, and UX research and data analysis methods for providing a better experience.

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.

How can you develop the AI proficiency that sets a UX designer's competitiveness apart? Complete your UX/UI design portfolio using AI throughout the entire process, from problem definition to solution derivation and prototyping!

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!

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

Based on Oracle 21C, from concepts to practice, the easiest way to learn SQL for beginners! Taught directly by the author of Easyspub's "Do it! Introduction to SQL with Oracle"! Designed for non-majors and beginners, explained step by step.

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.

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

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.

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!