데이터입문자를 위한 Azure 데이터 기초 완전정복

This is a course to learn Azure cloud service, a public cloud platform operated by Microsoft. Basic cloud concepts and terminology are taught by verified, experienced instructors. Core technology demonstrations are presented in their latest versions, allowing you to replicate video results. Acquire balanced theoretical and practical skills in Azure.

This special lecture lays the theoretical groundwork for simultaneous Microsoft AZ-900 certification preparation. Featuring the latest content reflecting the May 2025 exam scope, it covers cloud concepts, Azure architecture and services, and Azure management and governance, delivered with a blend of theory and hands-on practice.

This special lecture concurrently prepares for Microsoft AI-900 certification, featuring the latest content reflecting May 2025 exam scope, combining theory and practice, including AI overview, machine learning basics, computer vision, natural language processing, document intelligence, knowledge mining, and generative AI.

This is a course to learn AWS cloud service, a public cloud platform operated by Amazon. The basic concepts and terms related to the cloud are taught by a proven instructor with long experience, and the instructor's demonstration of core technologies is delivered in the latest version, so that you can see the same results as in the video. (Latest interface as of August 2023) Balance the theoretical and practical capabilities of AWS cloud.

The only lecture that delves deeply into a specialized field! A subject-specific industry expert will show you the fastest way to pass the exam through a thorough analysis of the exam trends!

This is a course on expected questions & latest reconstructed past exam problems for those wishing to obtain the National Certified Data Analysis Associate Professional Certificate (ADsP).

By the end of this course, you will be able to implement Apache Spark projects in your organization.

SQLD, where should I start? This course is for you who feel so overwhelmed; you'll meet a changed you after completing it. SQLD All-in-One Pass!

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!

"SQLD is an exam where past questions are not publicly released." Practical material that vividly reconstructs 50 questions by subject and chapter based on the actual 58th exam, which was evaluated as having unprecedented difficulty!

This course is designed to learn how to collect data through Logpresso and normalize the collected data so that it can be queried. In this course, you will learn how to collect data by setting up a collector, how to parse data mixed in various forms, and how to create a collector by installing an agent on a remote server.

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

The goal of this course is for you to efficiently learn SQL, apply it directly to practical work, and quickly develop data analysis skills. Let's grasp essential SQL fundamental concepts through solving Hackerrank problems, immediately apply them to real-world tasks, and truly enhance your skills.

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.

A DBA instructor with 30 years of experience teaches you 45 core SQL tuning techniques that can be immediately applied in practice through real-world examples. Learn practical know-how to make slow queries 10 times faster, from execution plan analysis to index optimization and join tuning!

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

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.

Data Visualization Storytelling That's Perfectly Achievable with Excel Alone

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

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.

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!

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

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.