초보자를 위한 BigQuery(SQL) 입문

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 lecture for those who want to consistently write a technical blog. Starting is easy, but trying to do it consistently leads to many trials and errors. This lecture compiles what I've tried and the know-how gained from operating a technical blog for over 7 years. It contains all my 7 years of experience, including SEO, technical blog writing strategies, writing process, etc.

We conduct app log analysis using data from Google Analytics 4 and Firebase. It includes useful content for practical use, such as arrays, window functions, funnels, retention, Google Sheets, and more.

We conduct app log analysis using data from Google Analytics 4 and Firebase. It includes useful content for practical use, such as arrays, window functions, funnels, retention, Google Sheets, and more.

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

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.

Make the most of relational database systems!

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!

As you work through more difficult Leetcode SQL problems, you'll learn how to apply multiple grammar rules to a single problem.

Through this course, you will learn to understand SQL and databases, SQL grammar, database design for practical use, database use through programming, and data analysis use cases.

Skip the complicated theories and concepts and just write SQL statements, practice, and follow along!

This course is a master class that systematically covers the fundamental principles and practical applications of MongoDB. Starting with core MongoDB concepts, you will systematically learn essential topics for practical work, such as database design, CRUD operations, indexing, aggregation pipelines, performance optimization, transactions, and security. It explains topics step-by-step so even beginners can understand, and you can deeply learn the working principles of MongoDB through exercises and examples. This is the best introductory and practical course for developers who want to build strong MongoDB skills for practical work.

Providing content on core data concepts, relational data in Azure, non-relational data in Azure, and analytical workloads in Azure, combining theory and practice, this offers a meaningful educational opportunity to not only obtain certification but also take the first step towards becoming a data professional.

SQLD 2nd subject in 8 hours! (But with the yellow book problem walkthrough)

SQLD Yellow Book 176 Problem Solving Lecture for You Who Studied but Cannot Solve Problems. After Completing the Course, You Will Become an Expert Beyond Passing. SQLD All-in-One Pass!

By creating core reports for utilizing GA4, you can learn to use GA4 directly in practice. You can learn specific examples of which reports to create and how to create them for data analysis.

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

This course teaches MS-SQL through baseball/company databases.