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Data Analytics Semi-Professional (ADsP) Certification Preparation

Name: Data Analytics Semi-Professional (ADsP) Certification Preparation
Price: 99000 KRW
Rating: 4.8 (75 reviews)

Given the need for data analysis experts, this course is designed to obtain the nationally certified 'Data Analysis Associate Professional' qualification.

(4.8) 75 reviews

842 learners

SoYoung Yoon

자격증

시험

ADsP

Big Data

Reviews from Early Learners

What you will gain after the course

Data Analysis Associate Expert
Data Analysis
ADsp
Certificate
Big Data
Artificial intelligence
Machine Learning

Nationally Certified Data Analysis Associate Professional Certification,
I got it with deep concepts + detailed problem solving!

What is this lecture? 📖

🙆‍♀️ Data analysis semi-expert? 🙆‍♂️

An Advanced Data Analytics Semi-Professional (ADsP) is a practitioner who performs tasks such as data analysis planning and data analysis based on basic knowledge of data understanding.

This course is for those who want to obtain the nationally certified data analysis associate specialist qualification (click) . It is designed to objectively verify the data analysis ability essential for the use of data throughout society, and to enable students to take and obtain the qualification examination with the ability at a time when practical data analysis experts in the public and private sectors are needed.

The data analysis associate professional qualification is increasingly preferred by companies and public sectors when applying for jobs, and in the AI era, data analysis skills are a necessary skill for anyone preparing for employment in the IT field, regardless of their major. If you want to become a data analysis associate professional or obtain a certified qualification related to data analysis, please take this course.

To these people
I recommend it 🔑

Data Analysis Associate Specialist
I want to get a certificate
The person who does it

In the field of job preparation
The development skills required
For those who want to learn

AI field program
I want to learn
The person who does it

Do you have any questions while studying?

If you have any questions, please use the [Questions/Answers] bulletin board.

Lecture Features ✨

In line with the change in the examination method in 2024, we have organized each topic into in-depth concept lectures and problem-solving to make it easy to understand. (We will continue to update according to the examination trend.)

What you'll learn 📚

[Section 1] Subject 1. Understanding Data

chap1. Understanding data
chap2. The value and future of data
chap3. Data Science and Strategic Insights for Value Creation

[ Section 2 ] 2 subjects. Data analysis planning

chap1. Understanding data analysis planning
chap2. Analysis Master Plan

[ Section 3 ] Subject 3. Data Analysis (1) - R Basics and Data Mart

chap1. R Basics & Data Mart

[ Section 4 ] Subject 3. Data Analysis (2) - Statistical Analysis

chap1. Statistical analysis

[ Section 5 ] Subject 3. Data Analysis (3) - Structured Data Mining

chap1. Structured Data Mining

[ Section 6] Expected Questions & Previous Exam Questions

Expected questions by subject type A~C
32nd~43rd Previous Exam Questions and Answers

[ Section 7] Summary & Keywords

Summary of subjects 1-3
Test Preparation Guide

Expected Questions Q&A 💬

Q. I am curious about the Data Analysis Associate Professional Certification.

This is a nationally recognized private qualification issued by the Korea Data Industry Promotion Agency. It is a qualification that verifies the ability required to perform duties such as data analysis planning and data analysis based on basic knowledge of data understanding.

Q. What are the qualifications for taking the exam?

There are no restrictions on the qualifications for taking the Data Analysis Associate Professional Qualification Exam. (Anyone can take the exam.)

Q. How is the verification process done?

The Data Analysis Associate Specialist Qualification Exam consists of 50 multiple-choice questions. (*An average of 60 points or more out of 100, and 40 points or more out of 100 for each of the three subjects) For more information, please refer to the first lecture, "Understanding Data Analysis Associate Specialist Qualification."

Q. What is the exam schedule for 2025?

This is a test conducted four times a year, and the schedule is announced by the Korea Data Industry Promotion Agency (www.dataq.or.kr) every January. The 2025 Data Analysis Associate Professional Examination Schedule is as follows.

Round	Application period	Exam date	Pre-score disclosure	Results announcement
The 44th	1.20~24	2.22(Sat)	3.14~3.18	3.21
The 45th	4.14~18	5.17 (Sat)	6.5~6.10	6.13
The 46th	7.7~11	8.9(Sat)	8.29~9.2	9.5
The 47th	9.22~9.26	11.2 (Sun)	11.21~11.25	11.28

I will conduct this lecture
Introducing the instructor ✒️

Yoon So-young (Eduatos CEO)

Instructor Yoon So-young is an IT professional instructor who has been teaching SW classes for 24 years.

Lecture History

SW lectures for new and existing employees at Samsung and LG
Central Information Processing Academy
Incheon Girls' Commercial High School (Industry-Academic Concurrent Program)
Korea Chamber of Commerce and Industry
Kimcheon University, Sungkyunkwan University (Suwon), Soongsil University, Seoul National University
Multi-campus and many others

Possession of qualifications

Information Processing Engineer Level 1
Vocational Training Instructor License (Level 2 Information Processing)
Data Analysis Associate Specialist
Data Analysis Expert
Big Data Analyst

Main Courses

[Certification Part] Information Processing Engineer, Industrial Engineer, Data Analysis Associate Specialist, Big Data Analysis Engineer
[Algorithm Part] Data Structure (Beginner, Intermediate), Algorithm (Samsung Employees, New Employees, LG Employees)
[Program Part] C language, JAVA, HTML/CSS/Java Script, Android Application, Python (basics, data processing, data analysis)
[AI Part] Machine Learning (supervised, unsupervised learning), Deep Learning (tensorflow, CNN, RNN basics)

Recommended for
these people

Who is this course right for?

Those preparing for the Data Analysis Associate Professional Certification
Big Data Engineer Certificate Preparers

Need to know before starting?

None

Hello
This is

2,932

Learners

130

Reviews

Answers

4.8

Rating

Courses

Curriculum

All

210 lectures ∙ (61hr 36min)

Course Materials:

Lecture resources

Section 1. Materials + CBT Problem Solving

6 lectures ∙ (11min)

1. Data Analysis Associate Professional Certification?
06:53
2. Learning Guide (Including Open Chat Room Guide)
3. Course Materials + Problem PDF Collection (251019-Replacement)
4. How to Use Google Forms (CBT) for Problem Solving
04:14
5. CBT Problem Collection (Main Lectures, Subject-wise Past Exam Reconstructions)
6. CBT Problem Collection (Past Exam Questions by Session) (46th Session Past Questions Added on October 19, 2025)

Section 2. Subject 1. Data Understanding

24 lectures ∙ (4hr 39min)

7. Definition and Types of Data
10:12
8. Tacit Knowledge and Explicit Knowledge
11:52
9. DIKW Hierarchy
10:18
10. Understanding Databases
13:26
11. Database Terminology Basic
06:40
12. Database Terminology Advanced
22:01
13. DBMS (Database Management System)
15:32
14. Database Design
04:43
15. Database Solutions for Corporate Internal Systems by Era
10:17
16. Industry-specific Enterprise Internal Database Solutions
12:59
17. Field-Specific Enterprise Internal Database Solutions Quiz
16:15
18. What is Big Data?
13:45
19. The Background of Big Data Emergence
07:28
20. IoT(Internet of Things)
05:30
21. The Role of Big Data
07:53
22. The Value and Impact of Big Data
16:02
23. Big Data Utilization Techniques
16:05
24. Big Data Risk Factors and Control Measures
18:24
25. Personal Information De-identification Techniques
11:13
26. Big data use cases, 3 elements for big data utilization
07:11
27. Big Data Analysis and Strategic Insights
08:46
28. Data Science
09:35
29. Data analysis-related positions
12:49
30. Data Analysis and Humanities
10:57

Section 3. 2 subjects. Data Analysis Planning

25 lectures ∙ (4hr 54min)

31. What is Analysis Planning? 4 Types of Analysis Topics
09:29
32. Target Timeline-Based Analysis Planning Approach
04:28
33. Considerations for Analysis Planning
05:06
34. Data types, storage methods
07:03
35. Analysis Methodology Overview
18:18
36. KDD & CRISP-DM Analysis Methodologies
23:45
37. KDD & CRISP-DM Analysis Methodology Quiz
08:57
38. Overview of Big Data Analysis Methodology
08:35
39. Big Data Analysis Methodology - Analysis Planning Stage
11:58
40. Big Data Analysis Methodology – Data Preparation Stage
07:15
41. Big Data Analysis Methodology - Data Analysis Stages
10:23
42. Types of Methods for Deriving Analysis Tasks
08:00
43. Analysis Task Derivation Method - Top-Down Approach
27:45
44. Analysis Task Derivation Method - Bottom-Up Approach
07:47
45. Managing Characteristics and Properties of Analysis Projects
24:00
46. Managing Characteristics and Properties of Analysis Projects
09:46
47. Establishing an Analysis Master Plan
06:31
48. Analysis Task Priority Selection Techniques
14:49
49. Establishment of Implementation Plan
07:17
50. Analysis Governance Framework
05:02
51. Data Analysis Level Assessment
23:39
52. Analysis Level Diagnosis Results
10:49
53. Establishing a Data Governance Framework
16:36
54. Data Analysis Organizational Structure
10:00
55. Analysis Task Management Process
07:30

Section 4. 3 Subjects Data Analysis (1) - R Basics

10 lectures ∙ (2hr 25min)

Section 5. 3 Subjects Data Analysis (2) - Statistical Analysis

41 lectures ∙ (12hr 30min)

Section 6. 3 Subjects Data Analysis (3) - Structured Data Mining

24 lectures ∙ (8hr 30min)

Section 7. Practice Problems for Past and Expected Questions (2023-2025)

43 lectures ∙ (15hr 3min)

Section 8. 2020 Past Exam Questions

12 lectures ∙ (2hr 41min)

Section 9. Subject-by-Subject Summary

12 lectures ∙ (6hr 56min)

Section 10. Collection of Expected Past Exam Questions (~2022)

13 lectures ∙ (3hr 43min)

Published:

Last updated:

Reviews

All

75 reviews

4.8

75 reviews

dlsrks306229714
Reviews 1
∙
Average Rating 5.0
5
100% enrolled
Thank you for catching all the details so thoroughly!
- eduatoz
  Instructor
  ~^^ Thank you, and I hope you had good results from taking the 47th exam!^^ Have a great day!
jongmoki1648
Reviews 1
∙
Average Rating 5.0
5
100% enrolled
- eduatoz
  Instructor
  Thank you ^^ Wow, you completed 100% of the course. Did you take the exam this time? I will continue to research and work to make even better content. Have a wonderful day.
leehk1783
Reviews 1
∙
Average Rating 4.0
4
30% enrolled
- eduatoz
  Instructor
  Thank you for your precious course review! Your exam is coming up soon. I hope you finish well and get great results~^^
mdk14464291
Reviews 1
∙
Average Rating 5.0
5
60% enrolled
- eduatoz
  Instructor
  Hello ^^ I attached the PDF for ADsP 46th session on October 19th at 8 AM. Please download the course material bundle again before the exam and use it! Thank you. Have a wonderful day!
leeseul10295119
Reviews 3
∙
Average Rating 5.0
5
30% enrolled
- eduatoz
  Instructor
  Hello ^^ You're taking the final exam! I've uploaded the ADsP 46th session past exam question paper and answer sheet PDFs to the resource room. The CBT is also registered and ready, so please make sure to check it out before the exam. Have a wonderful day!

Limited time deal ends in 00:18:13

$77.00

24%

$102.30

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Data Analytics Semi-Professional (ADsP) Certification Preparation

Reviews from Early Learners

What you will gain after the course

What is this lecture? 📖

🙆‍♀️ Data analysis semi-expert? 🙆‍♂️

To these people I recommend it 🔑

Lecture Features ✨

What you'll learn 📚

[Section 1] Subject 1. Understanding Data

[ Section 2 ] 2 subjects. Data analysis planning

[ Section 3 ] Subject 3. Data Analysis (1) - R Basics and Data Mart

[ Section 4 ] Subject 3. Data Analysis (2) - Statistical Analysis

[ Section 5 ] Subject 3. Data Analysis (3) - Structured Data Mining

[ Section 6] Expected Questions & Previous Exam Questions

[ Section 7] Summary & Keywords

Expected Questions Q&A 💬

I will conduct this lecture Introducing the instructor ✒️

Yoon So-young (Eduatos CEO)

Lecture History

Possession of qualifications

Main Courses

Recommended for these people

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Curriculum

Reviews

SoYoung Yoon's other courses

Similar courses

To these people
I recommend it 🔑

I will conduct this lecture
Introducing the instructor ✒️

Recommended for
these people

Hello
This is