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For those feeling overwhelmed by SQLD exam preparation, this is a standard course that analyzes the entire scope of the "Yellow Book," organizes the necessary theories through practice-oriented lessons, and solves every single problem. With short, concise clips and a topic-based structure, you can build the practical skills needed to succeed on the actual exam.

This introductory course, designed to be the easiest and most practical for Python beginners, covers intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and more. Additionally, you can also prepare for the 빅데이터 분석기사 practical exam.

This course was created for those who are preparing for the Big Data Analyst practical exam. It will help you pass the exam by learning as concisely as possible, and it will also provide an opportunity for those who are considering their career path to lightly learn about coding and machine learning.

SQLD, where should I start? For those of you feeling completely overwhelmed, this is the lecture for you. You will meet a transformed version of yourself after completing the course. SQLD All-in-One Pass!

1. AI practice using an AutoML platform that performs data analysis and AI modeling without coding 2. Carrying out the entire process from data exploration, visualization, and preprocessing for data analysis to AI modeling 3. This course is optimized for passing AICE Basic, an AI certification organized by KT

This is a practice exam and latest past exam restoration problem-solving course for those who wish to obtain the Advanced Data Analytics Semi-Professional (ADsP) national certification.

At a time when cultivating data analysis experts is essential, this course is designed to help participants obtain the state-certified 'Advanced Data Analytics Semi-Professional' (ADsP) certification.

Learn the core functions of SPSS in a short period to pass the Social Survey Analyst Level 2 practical exam. Master SPSS know-how along with problem-solving techniques—ranging from data entry to descriptive statistics, cross-tabulation, t-tests, ANOVA, and correlation/regression analysis—to perfectly prepare for the practical exam.

What do you learn in the 'Management Information Visualization Professional' certification course? This certification course focuses on developing the ability to analyze data effectively, visualize it for easy understanding, and communicate necessary information clearly and efficiently for important decision-making within companies or organizations. In simple terms, it is a process of learning the skills to not just look at data, but to uncover hidden meanings within it and express them through charts, tables, and graphs so they can be easily explained to others. Through this course, you will: Develop the power of strategic thinking through data, build practical skills that can be applied immediately to real-world tasks, and enhance your professional expertise and competitiveness. Through this lecture, cultivate the ability to connect management with data and take a step forward as an expert who understands and explains data.

"While following trends is important, unwavering fundamentals are what build true skill." This lecture is a beginner course designed to help you understand the flow of data science and properly master the most practical techniques.

"SQLD is an exam where past questions are not released to the public." Preparing for the upcoming 60th exam (26.3.7)— Practical study material featuring 50 questions per subject and chapter, vividly reconstructed based on the actual 58th exam, which was rated as having the highest difficulty ever!

Completely prepare for one subject of the exam for nationally certified SQL developer qualification using the Korea Data Industry Promotion Agency's SQL qualification exam practice questions as a textbook.

"SQLD is an exam where past questions are not officially released." In preparation for the upcoming 61st exam (May 31, 2026)— Practical materials featuring 50 questions per subject and chapter, vividly reconstructed by directly recalling the latest 60th exam!

This course is a hands-on program where you will learn the entire process of using Power BI—from importing and preprocessing data to configuring relationships, writing DAX, and creating actual reports and dashboards. In particular, it is designed to reflect the practical exam types for Management Information Visualization, allowing even beginners to simultaneously prepare for both real-world application and certification. Rather than just explaining simple functions, the course covers data preprocessing, visualization, and core measure creation frequently used in business, helping you quickly master the essential workflow within 8 hours.

1. Mock exam problem-solving for passing AICE Associate, Korea's only state-certified AI certification. 2. A course featuring 12 mock exam sessions with the same question types as the actual AICE Associate exam.

The Big Data Analysis Certification is a national certification exam held twice a year. For those preparing for the exam, I have provided detailed lectures covering everything from the basics to core concepts. The difficulty of the exam increases with each session. To address this, I have provided various essential contents starting from the fundamentals to help improve the passing rate.

The easiest ADsP introductory course that even non-majors can understand right away! From basic concepts to expected questions, everything you need to pass!

This is a lecture on the National Technical Qualification Big Data Analysis Technician Practical with Python. We hope you all pass!

"SQLD is an exam where past questions are not released." In preparation for the upcoming 62nd exam (2026.08.22)- Practical materials featuring 50 questions per subject and chapter, vividly reconstructed by directly recalling the latest 61st exam!

Prepare perfectly for the Goorm environment—the biggest challenge of the Big Data Analysis Certification practical exam—on the practice platform provided by Algorun. Practice past exam questions for Task Types 1, 2, and 3 repeatedly in a setting identical to the actual exam environment to gain an intuitive feel for the test rather than just memorizing code. This is a practice-oriented lecture designed to train your hands to move automatically in an environment that differs from Colab or Jupyter.