他の会社はファンネル分析どのようにしているのだろうか？ [データセミナーをもう一度見る| 2024年3月]

Datalian's SQL basics lecture with over 10,000 cumulative students and rich online/offline lecture experience. Learn SQL basics theory and solve 10 HackerRank problems together.

Datalian's intermediate SQL lecture with over 10,000 cumulative students and rich online/offline lecture experience. Learn intermediate SQL theory and solve practice problems together.

Datalian's advanced SQL problem-solving lecture with over 10,000 cumulative students and rich online/offline lecture experience. We will solve several problems together to practice advanced SQL content.

Datalian's SQL intermediate problem-solving lecture with over 10,000 cumulative students and rich online/offline lecture experience. We will solve several problems together to practice the SQL intermediate theory.

Datalian's advanced SQL lecture with over 10,000 cumulative students and rich online/offline lecture experience. Learn advanced SQL theory and solve practice problems together.

We will reveal the actual data analysis portfolio of successful job seekers and the portfolio-related questions they received during interviews!

In the cookie-less era, how will marketing change? If you don't know how to start marketing performance analysis, attend the November seminar.

We share the case of Datalian, founded by 4 data analysts, on how they analyze data, configure dashboards, and utilize data for action!

Datalian's SQL practical lecture with over 10,000 cumulative students and rich online/offline lecture experience. How is SQL used in practice? Let's become a data analyst who solves problems using real data from Microsoft's Yammer service.

No need for developers! It doesn't matter if you don't know development. I'll show you how anyone can easily install GA4 with just a few clicks.

Solve 25 SQL problems of various difficulty levels. This is the Advent of SQL 2024 explanation lecture. Upon finishing the lecture, you can complete the Advent calendar and obtain a badge.

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

Did you know that there are different types of data analysts? If you want to know everything about in-house data analysts and consulting data analysts, come to this seminar!

If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!

Are you worried about whether you can become a data analyst as a non-major? Hear from a non-major senior analyst!

If you are worried about where to start and where to start studying because you need to take a SQL coding test to become a data analyst, then come to this seminar!

How can performance be measured in offline advertising? From how to measure the performance of elevator TV ads, to the commonalities and differences in data observed in online/offline marketing! Hear about it at this October seminar!

Data analyst job prep: Lost on where to begin? Get hints at this September seminar!

How can data be leveraged in side projects? Hear the stories of 'Geumim' and 'Skull' at this seminar!

If you are preparing for a data analyst job or career change and were curious about hearing from someone in the field, ask a data analyst anything!

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-driven decision-making can minimize errors caused by subjective judgment and intuition, and will serve as an important basis for predicting various risks in advance and establishing various strategies.

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.)

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

In the cookie-less era, how will marketing change? If you don't know how to start marketing performance analysis, attend the November seminar.

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.

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 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.

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.