Resources

학생들을 위한 자료

• 취업 및 채용정보

  • 데이터분석 관련 구인구직 (오픈카톡):  https://open.kakao.com/o/gelU1Hyb

  • 데이터분석 구인구직 (Debunjob):  https://debunjob.com/

  • AI / 데이터분석 구인구직 (직행):  https://zighang.com/ai?utm_source=landing 

  • 통계마당 (커뮤니티, 구인구직):  https://www.facebook.com/share/g/7daaKpZncth75jVy/

  • 서울대학교 통계학과 채용정보:  https://stat.snu.ac.kr/category/board-18-GN-4n79A6rb-20210204014612/

  • 연세대학교 통계학과 채용정보:  https://stat.yonsei.ac.kr/stat/board/job.do

  • 고려대학교 통계학과 채용정보:  https://stat.korea.ac.kr/stat/community/recruit.do

  • 부산대학교 통계학과 채용정보:  https://stat.pusan.ac.kr/stat/4807/subview.do?enc=Zm5jdDF8QEB8JTJGYmJzJTJGc3RhdCUyRjU3OCUyRmFydGNsTGlzdC5kbyUzRg%3D%3D

  • 성균관대학교 통계학과 채용정보:  https://stat.skku.edu/stat/community/under_notice.do?mode=list&srCategoryId1=156&srSearchKey=&srSearchVal=

  • 경남연구원/경남빅데이터센터 채용공고:  https://www.gndi.re.kr/0000057

• 진로 및 취업 조언

  • 연세대학교 통계학과 졸업자 진로 현황:  http://bk21-bigdata.yonsei.ac.kr/bbs/board.php?bo_table=alumni

  • 데이터 분석 현직자 이야기:  https://youtu.be/KFOqFgVFvYY?si=Fz_s1Dn3S7N977_8

  • 데이터 분석팀 면접관 관점에서 사람 뽑아보면서 느낀 점 (1):  https://gall.dcinside.com/mgallery/board/view/?id=statistics&no=5062&exception_mode=recommend&page=2

  • 데이터 분석팀 면접관 관점에서 사람 뽑아보면서 느낀 점 (2):  https://gall.dcinside.com/mgallery/board/view/?id=statistics&no=7243&page=1

• 대학교 데이터분석 동아리

  • 연세대학교 ESC:  https://dongari.yonsei.ac.kr/kr/dongari/dongari_view.php?idx=278

  • 연세대학교 YSAL:  https://dongari.yonsei.ac.kr/kr/dongari/dongari_view.php?idx=276

  • 고려대학교 KUBIG:  https://www.kubigkorea.com/     and     https://github.com/ku-big

  • 고려대학교 PAINS:  https://pains1905.github.io/main/

  • 이화여자대학교 ESAA:  https://nature.ewha.ac.kr/naturea/activity/esaa.do

  • 성신여자대학교 DAJAVU:  https://www.instagram.com/sswu_dajavu/

• 온라인 커뮤니티

  • 데이터분석 관련 Q&A:  https://open.kakao.com/o/gcaPzHr

  • 혁펜하임 딥러닝 공부방:  https://open.kakao.com/o/g8SgoOSd

  • PyTorch Korea:  https://open.kakao.com/o/g3YdRo9

  • MLOps:  https://open.kakao.com/o/gzZHxspd

  • Kaggle Korea:  https://open.kakao.com/o/gVTh3G1f

  • AI 데이터분석 경진대회:  https://open.kakao.com/o/gO9ZfJ6e

  • 통계 마이너 갤러리:  https://gall.dcinside.com/mgallery/board/lists/?id=statistics&page=1

• 데이터분석 경진대회 및 프로젝트

  • DACON (국내 데이터분석 경진대회):  https://dacon.io

    • e.g. Toss NEXT ML Challenge  광고 클릭 예측(CTR) 모델 개발:  https://dacon.io/competitions/official/236575/overview/description

  • Kaggle (국제 데이터분석 경진대회):  https://www.kaggle.com

    • Kaggle 시작하는 법:  https://kaggle-kr.tistory.com/32

• • 산업 프로젝트 사례 (고려대학교 DMQA 연구실):  http://dmqa.korea.ac.kr/research/projects

  • 경남 빅데이터 연구센터 분석사례집:  https://bigdata.gyeongnam.go.kr/board/list.gn?boardId=BBS_0000019&menuCd=DOM_000000110008000000&contentsSid=341 

  • (아마도?) 성신여대 통계학과 학부 학생들:

    • 데이터와 데이트: 배대영, 홍주혁  (https://github.com/desaip2468/deguri)

    • 장애인 콜택시: 윤예슬, 지현주, 강형구  (https://github.com/calltaxi/data_science_2019)

    • save sea turtles: 이동석, 배수한, 김주연, 이솔희, 양효정  (https://github.com/joynkim525/ds_project_saveseaturtle)

    • 뽀개기: 남승희, 간정현, 서윤지, 전은지  (https://github.com/nseunghee97/heat-island-seoul)

    • 서울시 열섬현상 완화를 위한 녹지 및 바람길 입지 선정: 간정현,남승희,서윤지,전은지,이광춘  (https://github.com/nseunghee97/heat-island-seoul)

    • 잇츠 잇츠(ITs EATs)+: 김문정, 김재인, 이은지  (https://github.com/JaeInK/DataScience_ITS_EATs)

    • 데구리: 윤정하, 서아름, 박진식, 한도윤  (https://github.com/desaip2468/deguri)

    • 따릉따릉 따릉이: 김채원, 이다연  (https://github.com/dsyonsei122/bike)

    • 역주행역추적: 박준영, 임지성  (https://github.com/Chase-park/DS_ACTIOM)

• 온라인 강좌

  • KOCW (한국 대학강의 온라인 동영상):  http://www.kocw.net/home/index.do

  • K-MOOC (한국 온라인 대학강의):  http://www.kocw.net/home/index.do

  • math: https://youtube.com/@kh_math?si=JvA65HTfqK683bXF

  • 김성범 교수님 (고려대 산공) 유튜브:  https://www.youtube.com/@김성범교수산업경영공 

  • 강필성 교수님 (서울대 산공) 유튜브: https://www.youtube.com/@dsba2979 

  • 패스트캠퍼스:  https://fastcampus.co.kr 

  • SSAFY (삼성 SW 아카데미):  https://www.ssafy.com

  • 서울대 통계대학원 입시용 수통/회귀 인강 (각각 80만원....):  https://songscampus.co.kr

  • 서울대 정성규 교수님 유튜브:  https://www.youtube.com/@statistics_snu 

  • 서울대 박건웅 교수님 유튜브:  https://www.youtube.com/@SNUSTAT/featured 

  • StatQuest:  https://www.youtube.com/@statquest 

    • 특히, Maximum Likelihood 개념:  https://www.youtube.com/watch?v=XepXtl9YKwc 

  • 수리통계학 강의유튜브:  https://www.youtube.com/watch?v=ge6h5Au93m0&list=PLTGzWF3DajHQqqrURmOQu4s27saRFBkgS

  • 통계학개론 강의유튜브:  https://www.youtube.com/watch?v=vCCto_Gg2YI&list=PLIRg3_7beA38t26_hGO2tabgN6B22E_9p&index=6

  • 메타코드M (유튜브)

  • 인공지능과 Kaggle 분석 — K-MOOC:  https://www.kmooc.kr/view/course/detail/14657?tm=20250319091459

  • [딥러닝 구현 실습] 한효섭 YouTube 채널:  https://www.youtube.com/@hanyoseob/featured

• 학습자료

  • 통계학 추천 도서:  https://gall.dcinside.com/mgallery/board/view/?id=statistics&no=6539&page=1

  • Project Euler — 알고리즘 문제:  https://euler.synap.co.kr/prob_list.php?pg=3

  • 수리통계학 정리노트:  https://gagadi.tistory.com/49

  • 모두를 위한 Convex Optimization:  https://convex-optimization-for-all.github.io/#%EC%98%A4%ED%94%88%EC%86%8C%EC%8A%A4-%EC%B0%B8%EC%97%AC%EA%B0%80%EC%9D%B4%EB%93%9C

  • [데이터사이언스를 위한 수학] 미적분학, 선형대수, 최적화이론  by 카이스트 수리과학과 강완모 교수님, 조경현 교수님, 백형렬 교수님

    • 강의노트:  https://sites.google.com/site/wanmokang/lectures

    • 유튜브 채널:   https://youtu.be/i5PxbQHP8GI?si=KalG3suI5jI1kN5s

  • R을 이용한 데이터 분석 실무 (한글버전):  https://www.dropbox.com/scl/fi/pmbsvpt7fnnuku1mi4j2b/R-RForPracticalDataAnalysis.pdf?rlkey=0ysmallsebv62htobtmcebkw8&st=jyi0h96f&e=1&dl=0

  • Understanding Deep Learning:  https://udlbook.github.io/udlbook/

  • Andrew Ng 머신러닝 강의노트 — 박수진 번역:  https://wikidocs.net/book/587

  • Introduction to Statistical Learning with R and Python

  • PyTorch 입문 (위키독스):  https://wikidocs.net/book/2788

  • LLM을 이용한 분석 보고서 자동 생성:  https://blog.zarathu.com/posts/2024-10-14-reportgeneration/

  • 산업계에서 통계학이 어떻게 활용되는지 / 활용될 수 있는지:  https://docs.google.com/spreadsheets/d/1G51ArsIGRHSdOkLxd2YgZVGgUmqY-H6SSSy1iVmUmFE/edit?gid=0#gid=0

• 한글 번역 도구

  • PDFMathTranslate / pdf2zh:  https://pdf2zh.com/

  • PDFMathTranslate GitHub:  https://github.com/PDFMathTranslate/PDFMathTranslate?tab=readme-ov-file

  • DeepPDF:  https://deeppdf.ai/

강의용 자료들

• 타대학 강의자료

  • High-Dimensional Probability and Statistics:  https://people.math.wisc.edu/~roch/hdps/index.html

  • Probability, Mathematical Statistics, and Stochastic Processes:  https://www.randomservices.org/

  • Math review for new biostatistics students:  https://iowabiostat.github.io/math-review/index.html

  • Real Analysis:  https://web.stanford.edu/~eugeniam/math205a-19.html

  • Convex Optimization (Ryan Tibshirani):  https://www.stat.cmu.edu/~ryantibs/convexopt/

  • Convex Optimization (Harvard AM221):  https://people.seas.harvard.edu/~yaron/AM221-S16/schedule.html

  • Convex Optimization (Moritz Hardt, Berkeley EECS):  https://ee227c.github.io/

  • Patrick Breheny:  https://pbreheny.org/web/teaching.html

    • Likelihood Theory and Extensions,  Introduction to Biostatistics,  High-Dimensional Data Analysis

    • Survival Data Analysis,  Biostatistical Methods I,  Nonparametric statistics

    • Advanced regression (linear and generalized linear models),  Advanced regression (generalized inear models)

    • Applied Statistical Modeling for Medicine and Public Health,  Bayesian modeling in biostatistics

  • Andrew Ng 머신러닝 강의노트 (한글버전):  https://wikidocs.net/book/587

  • Rcpp 강의자료:  https://privefl.github.io/R-presentation/Rcpp.html?fbclid=IwAR3KGEeqNl4npVrUkiDnDpnHNIPBmkJ5Qp9Q51ysakcLsktCaPNvdr7JeUU#1

• 강의용 도구 및 시각화

  • https://statpng.github.io/profile/ForLectures/

  • HostMath:  http://www.hostmath.com

  • Desmos 3D:  https://www.desmos.com/3d

  • 이변량 정규분포 3차원 시각화:  https://socr.umich.edu/HTML5/BivariateNormal/

  • 행렬 시각화 — 행렬식, 고유값, 고유벡터:  https://shad.io/MatVis/

  • 라그랑주 승수법:  https://www.geogebra.org/m/hmcfh5cq

  • 확률분포:  https://mabognar.github.io/apps/

  • 3Blue1Brown:  https://www.youtube.com/c/3blue1brown

  • Seeing Theory:  https://seeing-theory.brown.edu/

  • Data Visualization Catalogue:  https://datavizcatalogue.com/

  • Yizhe Ang:  https://yizhe-ang.github.io

• LaTeX & Templates

  • Ryan Tibshirani — Convex Optimization LaTeX Template:  https://www.stat.cmu.edu/~ryantibs/convexopt/template.tex

  • Mississippi State University — Brand Assets & Templates:  https://brand.msstate.edu/assets/index.php

Research Resources

• TheoremDep:  https://sharmaeklavya2.github.io/theoremdep/

• Useful Inequalities:  https://www.lkozma.net/inequalities_cheat_sheet/

• R / Rcpp

  • RDocumentation — zeallot:  https://www.rdocumentation.org/packages/zeallot/versions/0.1.0

  • R / Rcpp / RcppArmadillo Syntax Comparison:  https://thecoatlessprofessor.com/programming/cpp/common-operations-with-rcpparmadillo/

• Troubleshooting & Setup

  • Error: "gfortran is not found" on M1 Mac:  https://mac.r-project.org/tools/

  • Algorithm Problems — Project Euler:  https://euler.synap.co.kr/prob_list.php?pg=3

  • R vs. Rcpp Syntax Table:  https://thecoatlessprofessor.com/programming/cpp/common-operations-with-rcpparmadillo/

  • Rcpp Presentation:  https://privefl.github.io/R-presentation/Rcpp.html?fbclid=IwAR3KGEeqNl4npVrUkiDnDpnHNIPBmkJ5Qp9Q51ysakcLsktCaPNvdr7JeUU#1

  • Error: "PowerPoint equations do not replace Greek letters after hitting space":  https://answers.microsoft.com/en-us/msoffice/forum/all/powerpoint-equations-do-not-replace-greek-letters/8aff6c0b-21b8-45be-b46b-c1a80bca8306

    • - Possible fix: delete  

    • `~/Library/Group Containers/UBF8T346G9.Office`

• RSwitch — R Version Control on macOS:  https://rud.is/rswitch/guide/

• Researchers

  • Jianqing Fan:  https://fan.princeton.edu/publications-general.html

  • Christian P. Robert — Homepage:  https://www.ceremade.dauphine.fr/~xian/

  • Christian P. Robert — Lecture Video:  https://www.youtube.com/watch?v=BizPtFoyAR4

• Data Sources

  • UK Biobank:  https://www.ukbiobank.ac.uk

Miscellaneous

• - Statistical Terminology Glossary (Korean–English):  

•   https://docs.google.com/spreadsheets/d/e/2PACX-1vQALBXPaV_9u1Lpgg3n0E30eQKPLZVieqi17scM5upFnXX0Ulm8EvpWzfKgQq5PaFebWTKf9BqAMTsj/pubhtml