Data-Driven Design Without a Data Analyst [Datarian Seminar Replay | November 2025]

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

Inflearn's SQL intermediate course by Datarian, with over 30,000 cumulative students and extensive online/offline teaching experience. Learn intermediate SQL theory and solve 20 practice problems together.

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.

Have you switched to GA4 but feel lost on how to use it? By learning three principles for effective data viewing and practical GA4 examples, you can immediately apply them to your work starting tomorrow!

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

Have you ever seen an actual resume used by a data analyst when applying for jobs? Here are all the resume writing tips from analysts who successfully landed jobs as non-majors!

Solve 25 SQL problems of varying difficulty levels. This is a commentary lecture for Advent of SQL 2025, and upon completing the course, you can finish the advent calendar and earn a badge.

No developers needed! No coding knowledge required. I'll show you how anyone can easily install GA4 with just a few clicks.

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 a non-major hoping to pursue a career as a data analyst? If you are curious about how we, with backgrounds in Logistics, Business Administration, Creative Writing, and Mechanical Engineering, became data analysts, you can find hints in this seminar.

Portfolios are an essential element for landing a job as a data analyst! If you've been feeling overwhelmed about how to prepare, get some tips from this seminar.

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

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

How can data be used in content marketing? At this May seminar, you can hear case studies from data analysts on using data from company blogs and newsletters!

If you were curious about what A/B testing is and how other companies experiment, attend this November seminar!

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

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

Practitioners who are curious about how other companies conduct funnel analysis, gather here! Meet the case of the global No. 1 alarm app, ‘Alarmy’, with 75 million cumulative downloads.

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

We've prepared an easy and quick introduction to UX/UI and an easy and comfortable way to listen to the understanding of humans that is truly important in UX through various fields such as Saint-Exupéry, Renoir, and educational philosopher John Dewey, as well as the human elements that may seem unimportant but are actually game changers.

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!

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

This is a replay of the eleventh webinar on how to use the free data visualization tool 'HEARTCOUNT' that requires no coding. Instead of spending time learning data or learning tools, spend it finding the information you need from your data for your work.

Learn various features of Looker Studio (formerly Google Data Studio) using GA4 demo data. This includes explanations and hands-on practice for Looker Studio's visualization elements. In particular, marketers or planners who are not familiar with SQL can learn easy ways to connect and use BigQuery data with Looker Studio. You can learn methods to create dashboards using Looker Studio.

This is a course for PMs who want to utilize data. It covers the entire process of using data in a PM role, capturing the full workflow from your first day at a new job to the beginning and end of a project. It is an introductory data course designed to build your thinking power, covering everything from data-driven and logical thinking to metric definition, log design, experiment design, and building a data culture. Although it was created for PMs, the content is also highly beneficial for data analysts (in fact, many analysts have already taken this course). Additionally, many professionals in marketing, design, and business planning roles are also taking the course.

This is our 'actual real-world workflow,' and we are releasing the 'onboarding video' used for planners and developers joining our company. It teaches you how to design service screens without a designer and create UX flows and prototypes even if you don't know Figma. Our company maximizes productivity by prototyping quickly during service planning to enable fast decision-making, finalize necessary features, and utilize them directly in front-end development. If the response is positive, I will upload more lectures on other "real-world workflows."

In the era of AI and Big Data, are you utilizing your organization's data effectively? This course builds essential capabilities for reading and interpreting data, covering everything from the foundations of statistical thinking to the core principles of machine learning and deep learning. Grow into a practical leader capable of discovering patterns amidst volatility and making data-driven decisions.

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.

Learn how to use AI tools to strategically analyze raw data and visualize it persuasively—without complex or tedious statistical or coding knowledge. Starting with preprocessing messy raw data, you’ll complete complex tasks such as exploratory data analysis (EDA) and correlation analysis through just a few AI conversations, dramatically reducing the time required for practical analysis. Through concise, hands-on theory and scenario-based exercises, develop your own end-to-end professional skills for transforming numbers into powerful tools of business persuasion.

In an environment without a design team, product proposals, or a PM, how can we plan, deliver, and persuade? Kim Young-jun, former 29CM Product Design Lead, will share his self-product strategy focusing on Figma, along with practical case studies. Learn in detail everything from how to survive in a structureless environment to how to build structure with just Figma.

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

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.

This explains intermediate-level After Effects techniques and above that can be utilized in practical work. Although explained using CC2023, it focuses on fundamental principles regardless of version. Rather than wasting time on tool explanations, I've prepared material that enables proactive research.

The most definitive way to build the backbone of your data No more fragmented knowledge. From DAsP (Data Architecture Semi-Professional) certification to practical modeling skills, this is the single most perfectly structured masterclass. "Are you still relying on piecemeal memorization for data modeling?" The ability of an 'architect' to translate complex business requirements into clear data structures is the most irreplaceable weapon in the IT ecosystem. This course goes beyond simply passing a certification; it provides practical insights to see through the enterprise-wide data flow.

You can learn how to use GA4 in practice by creating core reports for GA4 utilization. You will learn specific examples of which reports to create and how to create them for data analysis. For practical analysis, it also includes instructions on how to install and use Microsoft Clarity, a heatmap tool.

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

Have you ever created an IR Deck only to receive feedback that it "lacks persuasion"? In most cases, the problem lies not in the design, but in the structure of the message. Based on real-world experience in IR Deck design, I have outlined the criteria for designing a narrative flow from an investor's perspective. This class is designed to help you grow into a hands-on designer who can architect structure beyond just visuals.