강의

N
챌린지

멘토링

N
클립

커뮤니티

AI Technology

/

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

  • anjaeju
이직고민
Self Improvement

What you will learn!

  • 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

안재주 (Jay)

  • 현직: Research Engineer & AI PM

  • 학력: 성균관대학교 소프트웨어학과 석사 졸업 (컴퓨터 비전, 대규모 데이터셋 전공)

     

  • https://medium.com/@anjaeju

사업 및 연구개발 스탯

  • 총 연구비 수주액 : 8억 +

  • AI 제품 상용화 : 3건 + (메인 - AI 기반 이상행동 모니터링)

  • AI 프로젝트 수행 : 10건 + (메인 - 컴퓨터 비전, 데이터셋 구축)

  • AI 논문 : 7편 + (NeurIPS, WWW 등 최우수학회 포함)

대회활동 및 기여 스탯

  • 기관 자문 : 5건 + (한국도로공사, 코드잇, 코드스테이츠 등)

  • 강연 및 강의 : 5건 + (국방부, 한국표준협회, LG AI Research 등)

  • AI 멘토링 : 100회 +

  • 프로젝트 멘토링 : 30회 +

     

핵심 강점

  • 기능우선 및 완료주의

  • 초-프로토타이핑

     

  • 실전 임팩트 우선

프로젝트 (진행 중)

  • AI Roadmap 2025 ver.

  • LLM/VLM Roadmap 2025 ver.

  • LLM/VLM tutorials

Curriculum

All

13 lectures ∙ (33min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

Not enough reviews.
Please write a valuable review that helps everyone!