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Preparation for the Associate Data Scientist Professional (ADsP) certification

At a time when the training of data analysis experts is needed, this course is designed to obtain the nationally certified "Semi-Professional Data Analyst" certification.

(4.8) 51 reviews

681 students

ADsP
Big Data
R
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This course is prepared for Basic Learners.

What you will learn!

  • Associate Professional Data Analyst

  • Data analysis

  • ADsp

  • certification

  • 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 to 43rd past exam questions solved

[ 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 (Eduatoz 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?

  • Anyone preparing for the ADsP certification

  • Anyone preparing for the Big Data Analyst certification?

Need to know before starting?

  • None

Hello
This is eduatoz

2,451

Students

76

Reviews

46

Answers

4.8

Rating

8

Courses

Curriculum

All

196 lectures ∙ (56hr 43min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

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51 reviews

4.8

51 reviews

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