Hướng dẫn hoàn hảo chuẩn bị việc làm cho nhà phân tích dữ liệu từ người thực hành [Xem lại hội thảo hàng tháng Datarian | Tháng 9 năm 2023]

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 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 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 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 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 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.

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!

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.

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

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!

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!

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!

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

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!

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!

For those who have chosen a career in information security/information technology and are preparing to move to large corporations/financial institutions, we will reveal our strategy for passing the exam. A current CISO who has personally recruited and recommended numerous people will share his secrets for passing the exam. He has heard from his acquaintances, security company CEOs and executives of large companies, and compiled a recruitment bible by collecting a vast amount of recruitment secret data.

This is a must-have lecture for those who want to become a product designer or are preparing for a UX job/job change! We will teach you from project selection to chart planning/design based on real-life experience to create a portfolio with problem-solving skills.

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

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 is a partial lecture from the theory section of a career guide course that comprehensively covers all the processes you need to prepare for developer job hunting and career transitions, including resumes, portfolios, technical interviews, and personality interviews. In the theory section, we've organized the process of finding companies that suit you, analyzing job postings, preparing for interviews and coding tests, and everything you need to know to prepare your resume and portfolio.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

This course teaches you step-by-step the web planning process for large-scale projects from A to Z, from RFP analysis, which is an essential competency for SI and next-generation project web planners, to linkage definition and integrated design, and then to test implementation and stabilization.

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

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.

I'll show you how to strategically create a portfolio. To get a job quickly, you need to create a portfolio that the 'interviewer' will like, not the design you want to do.

If you are preparing for a job change after 5 years or less, we will tell you all about career management methods along with successful cases of career branding that can increase your passing rate by more than 2 times with a strategy that differentiates you from others!

[Inspiration Note] From how to find inspiration in everyday life with author Seunghee to questions you might have for Seunghee as a brand marketer!

Revolutionize your stock investments with AI! In this lecture, you will directly build a real, working AI automated trading system targeting the top 25 NASDAQ stocks. We provide a special opportunity to gain experience and know-how through simulated investments with the 한국투자증권 API, and to perform AI stock automated trading with a real account. Even stock beginners will have no problem. We will easily explain basic stock concepts and why you should invest in US stocks, and provide all source code and remote support. From now on, investment is essential for the next 60 years of our lives. Create your own AI investment partner that will be with you!

Understand the core of big data business and provide insights on how to utilize it in marketing strategies in the field.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

Master the Big Data Analysis Engineer certification, an essential but never easy-to-self-study credential, in a short period by utilizing R, an easy-to-learn data analysis tool!!

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 course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.