1 subject.
Understanding data

Chapter 1: Understanding Data
Section 1 Data and Information
Section 2 Definition and Characteristics of Databases
Section 3 Database Utilization

Chapter 2: The Value and Future of Data
Section 1 Understanding Big Data
Section 2: The Value and Impact of Big Data
Section 3 Business Model
Section 4 Risk Factors and Control Measures
Section 5 Big Data of the Future

Chapter 3: Data Science and Strategic Insights for Value Creation
Section 1 Big Data Analysis and Strategic Insights
Section 2: Required Capabilities for Deriving Strategic Insights
Section 3: Big Data and the Future of Data Science

Expected Questions (1 Subject)

2 subjects.
Data Analysis Planning

Chapter 1: Understanding Data Analysis Planning
Section 1: Deriving Analysis Planning Direction
Section 2 Analysis Methodology
Section 3: Identifying Analysis Tasks
Section 4 Analysis Project Management Plan

Chapter 2 Analysis Master Plan
Section 1 Framework for Establishing a Master Plan
Section 2 Establishing an Analysis Governance System

Expected Questions (2 Subjects)

3 subjects.
data analysis

Chapter 1: Data Analysis Overview
Section 1 Understanding Data Analysis Techniques

Chapter 2: R Programming Basics
Section 1 R-Basics
Section 2 Input and Output
Section 3 Data Types and Structures

Chapter 3 Data Mart
Section 1 Data Changes and Summary
Section 2 Data Exploration

Expected Questions (Chapters 1-3 of 3 subjects)

Chapter 4 Statistical Analysis
Section 1 Understanding Statistical Analysis
Section 2 Basic Statistical Analysis
Section 3 Regression Analysis
Section 4 Time Series Analysis
Section 5 Multidimensional Scaling
Section 6 Principal Component Analysis

Expected Questions (3 Subjects, 4 Chapters)

Chapter 5 Structured Data Mining
Section 1: Overview of Data Mining
Section 2 Classification Analysis
Section 3 Decision Tree Analysis
Section 4 Ensemble Analysis
Section 5: Artificial Neural Network Analysis
Section 6 Cluster Analysis
Section 7 Association Analysis

Expected Questions (3 Subjects, 5 Chapters)

mock exam
1st mock exam
2nd mock exam
3rd mock exam

Previous exam questions
The 40th Data Analysis Associate Qualification Examination Exam Questions
The 41st Data Analysis Associate Qualification Examination Exam Questions
The 42nd Data Analysis Associate Qualification Examination Exam Questions
The 43rd Data Analysis Associate Qualification Examination Exam Questions
Answer key for previous exam questions

[Appendix] ADsP D-7 Passing Magic Note
Secret Key Summary Notes
Secret answer memorization notebook?

1.
Produced based on Data Edu's complete analysis of past exam questions (1st to 43rd)

- You can identify important sections in advance through the frequency and difficulty of each section and keywords, and you can also review important content before the exam by organizing keywords after studying.
- Provides various side contents (exam points, secret study tips, concept plus, etc.) to support learning of the main text.
- Provides key concept check questions, expected questions, 3 mock exams for final preparation, and 10 sets of past exam questions (30th to 43rd)

2.
Digital learning support through DataEduPT and Codelearning

- Providing 'Theory Conquest Lectures' to help you understand theoretical concepts more easily.
- '2025 ADsP PT' provides free mobile access to all the problems in the book, with detailed explanations.
- '2025 ADsP R Practice' provided, allowing practice without installation in an online environment.

3.
A supplementary 'D-7 Passing Magic Note' is provided to help you finish your exam.

- 7 days before the exam, review concepts with the 'Key Summary Notes' that summarize only the main concepts so that you can review after reading once.
- With the exam D-1, how about finishing up with an 'answer memorization notebook' that will help you memorize answers to recent exam questions and get used to taking exams in a question bank format?