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AI Technology

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Deep Learning & Machine Learning

How to Get Started with Data Science Graduate School Preparation

- Data Science 'Graduate School' Guidelines (⭐ One-time editing of practice materials (CV) provided)

11 learners are taking this course

Level Beginner

Course period Unlimited

  • anjaeju
Self Improvement
Self Improvement
Self Improvement
Self Improvement

What you will gain after the course

  • How to get into graduate school

  • Data Science Graduate School

  • Career Change

  • Going to graduate school for artificial intelligence

  • graduate school

Here's How to Prepare for Data Science Graduate School

This lecture, created based on dozens of [Graduate School Admission Consulting] sessions, will help you solve your concerns.

  • A summary of the "Data Science" graduate school admissions guide for government-funded education, job changes, non-majors, and career transitions.

  • Make sure you understand the system and procedures for graduate school admission and prepare accordingly!

Learn about these things

Graduate school and graduate school admission period

I've seen many people treat graduate school as if it were an 'academy' or a 'recruitment program'.

However, graduate school requires 제대로 preparation to achieve the desired results. This lecture will help you understand the data science graduate school program and its timing.

Graduate School Preparation Pipeline

We provide a comprehensive overview of the graduate school preparation pipeline, from selecting a research topic to admission, and guide you through the process and action steps required for preparation.

Make sure you know exactly 무엇을 you need to prepare.

Things to note before taking the course

Learning Materials

  • The learning materials provided are video materials.

  • The practice materials are in Excel format, and if you would like, we can provide a link to Overleaf (a document editing site).

Player Knowledge and Precautions

  • No player knowledge required

  • Questions/Answers and Future Updates

Recommended for
these people

Who is this course right for?

  • A situation where there is no one around you who can help you with graduate school admissions

  • A situation where you need to analyze and understand your current state and surroundings.

  • Lack of information about graduate school admissions

  • Situation where you want to move to a data science career through graduate school

  • Office workers/developers/non-majors preparing to move to the data science industry

Hello
This is

163

Learners

9

Reviews

2

Answers

4.8

Rating

1

Course

Jaeju An (Jay)

  • Current Position: Research Engineer & AI PM

  • Education: Master's degree in Software from Sungkyunkwan University (Majored in Computer Vision and Large-scale Datasets)

     

Business and R&D Stats

  • Total Research Funding Secured: 1 Billion KRW +

     

  • Lead for AI-based abnormal behavior monitoring (currently implemented in 10+ institutions)

  • AI product awarded the 2025 'Prime Minister's Award'

  • AI Papers: 7+ (Including top-tier conferences such as NeurIPS, WWW, etc.)

  • AI Project Execution: 10+ cases (Main - Computer Vision, Dataset Construction)

Extracurricular Activities & Contribution Stats

  • Institutional Advisory: 5 cases + (Korea Expressway Corporation, Codeit, Codestates, etc.)

  • Lectures and Instruction: 5 cases + (Ministry of National Defense, Korean Standards Association, LG AI Research, etc.)

  • AI Mentoring: 100+ sessions

  • Project Mentoring: 30+ sessions

     

Core Strengths

  • Function-first and Completion-oriented

  • Ultra-Prototyping

     

  • Prioritizing Real-world Impact

Project (In Progress)

  • ㅇ _______ㅇ

Curriculum

All

13 lectures ∙ (33min)

Course Materials:

Lecture resources
Published: 
Last updated: 

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