├── .DS_Store ├── .gitignore ├── LICENSE ├── PPT ├── [Marketing_Science] Week01-OT.pdf ├── [Marketing_Science] Week02-Bayesian_Rethinking.pdf ├── [Marketing_Science] Week03-마케팅에서의 인과추론.pdf ├── [Marketing_Science] Week05-PyMC & TVC.pdf ├── [Marketing_Science] Week06-Multi Touch Digital Attribution.pdf ├── [Marketing_Science] Week07-준실험(Quasi-experiments).pdf ├── [Marketing_Science] Week08-Segmentation & RFM.pdf ├── [Marketing_Science] Week10-Customer Lifetime Value.pdf └── [가짜연구소 인과추론팀] 10기 프로젝트 OT.pdf ├── README.md └── [Marketing_Science] Template.pptx /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/.DS_Store -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Created by https://www.toptal.com/developers/gitignore/api/r,python,jupyternotebooks 2 | # Edit at https://www.toptal.com/developers/gitignore?templates=r,python,jupyternotebooks 3 | 4 | ### JupyterNotebooks ### 5 | # gitignore template for Jupyter Notebooks 6 | # website: http://jupyter.org/ 7 | 8 | .ipynb_checkpoints 9 | */.ipynb_checkpoints/* 10 | 11 | # IPython 12 | profile_default/ 13 | ipython_config.py 14 | 15 | # Remove previous ipynb_checkpoints 16 | # git rm -r .ipynb_checkpoints/ 17 | 18 | ### Python ### 19 | # Byte-compiled / optimized / DLL files 20 | __pycache__/ 21 | *.py[cod] 22 | *$py.class 23 | 24 | # C extensions 25 | *.so 26 | 27 | # Distribution / packaging 28 | .Python 29 | build/ 30 | develop-eggs/ 31 | dist/ 32 | downloads/ 33 | eggs/ 34 | .eggs/ 35 | lib/ 36 | lib64/ 37 | parts/ 38 | sdist/ 39 | var/ 40 | wheels/ 41 | share/python-wheels/ 42 | *.egg-info/ 43 | .installed.cfg 44 | *.egg 45 | MANIFEST 46 | 47 | # PyInstaller 48 | # Usually these files are written by a python script from a template 49 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 50 | *.manifest 51 | *.spec 52 | 53 | # Installer logs 54 | pip-log.txt 55 | pip-delete-this-directory.txt 56 | 57 | # Unit test / coverage reports 58 | htmlcov/ 59 | .tox/ 60 | .nox/ 61 | .coverage 62 | .coverage.* 63 | .cache 64 | nosetests.xml 65 | coverage.xml 66 | *.cover 67 | *.py,cover 68 | .hypothesis/ 69 | .pytest_cache/ 70 | cover/ 71 | 72 | # Translations 73 | *.mo 74 | *.pot 75 | 76 | # Django stuff: 77 | *.log 78 | local_settings.py 79 | db.sqlite3 80 | db.sqlite3-journal 81 | 82 | # Flask stuff: 83 | instance/ 84 | .webassets-cache 85 | 86 | # Scrapy stuff: 87 | .scrapy 88 | 89 | # Sphinx documentation 90 | docs/_build/ 91 | 92 | # PyBuilder 93 | .pybuilder/ 94 | target/ 95 | 96 | # Jupyter Notebook 97 | 98 | # IPython 99 | 100 | # pyenv 101 | # For a library or package, you might want to ignore these files since the code is 102 | # intended to run in multiple environments; 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IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week01-OT.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week01-OT.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week02-Bayesian_Rethinking.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week02-Bayesian_Rethinking.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week03-마케팅에서의 인과추론.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week03-마케팅에서의 인과추론.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week05-PyMC & TVC.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week05-PyMC & TVC.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week06-Multi Touch Digital Attribution.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week06-Multi Touch Digital Attribution.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week07-준실험(Quasi-experiments).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week07-준실험(Quasi-experiments).pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week08-Segmentation & RFM.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week08-Segmentation & RFM.pdf -------------------------------------------------------------------------------- /PPT/[Marketing_Science] Week10-Customer Lifetime Value.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[Marketing_Science] Week10-Customer Lifetime Value.pdf -------------------------------------------------------------------------------- /PPT/[가짜연구소 인과추론팀] 10기 프로젝트 OT.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/PPT/[가짜연구소 인과추론팀] 10기 프로젝트 OT.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Marketing Science 2 | 3 |

Marketing Data Analytics & Bayesian Statistics

4 | 5 |
6 | PseudoLab 7 | Discord Community 8 | Stars Badge 9 |
10 |
11 | 12 | > 제모옥은... Marketing Science, 마케팅 데이터분석입니다. 근데 이제 인과추론 & 베이지안 통계를 곁들인 13 | 14 | ## 🌟 프로젝트 기획 15 | 16 | 가짜연구소 인과추론팀에 소속된 "Marketing Science" 프로젝트입니다. 마케팅 성과 계량 및 성과 극대화를 위한 데이터 기반의 방법론들이 발전하고 있어, 이를 체계적으로 정리하고 공유하기 위해 프로젝트를 빌딩했습니다. 책의 내용을 기반으로 넓은 범위의 내용을 다루되, 각각의 방법들이 실무에 어떻게 적용될 수 있는지를 다루고자 합니다. 프로젝트를 위해 필요한 인과추론 및 베이지안 방법론의 기초 내용 리뷰와 함께 진행할 예정이니, 걱정하지말고 지원해주세요! 17 | 18 | ## 🌟 프로젝트 목표 19 | **"더 풍부한 정보를 제공할 수 있는 마케팅 데이터분석가/과학자"** 20 | - 마케팅 데이터분석 (MDA)의 주요 케이스에 대한 학습 및 정리 21 | - 인과를 상상할 수 있는 마케팅 분석으로 나아가기 22 | - 현대적인 MDA의 베이지안 방법론과 친해지기 23 | - 마케팅 도메인의 현직자들과의 고민 나누기 24 | - Marketing Science를 위한 Gitbook 작성 (원하시는 분들 같이 만들어요!) 25 | 26 | ## 🧑 팀 소개 27 | 28 | | 역할 | 이름 | 기술 스택 배지 | 주요 관심 분야 | 29 | | ------------------- | --------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | ------------------------- | 30 | | **Project Builder** | [권남택](https://www.linkedin.com/in/namtaek-kwon/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론, 베이지안, MMM, LLM | 31 | | **Member** | [신진수](https://www.linkedin.com/in/jinsoo-shin-436060162/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론 | 32 | | **Member** | [권준혁](https://www.linkedin.com/in/junhyuck-kwon/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론, 베이지안, 마케팅 사이언스 / 전략 | 33 | | **Member** | [길지홍](https://www.linkedin.com/in/jihonggil/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론, 애드테크, 마케팅 사이언스 | 34 | | **Member** | [유연승](https://www.linkedin.com/in/yeonseung-yoo-a4bb4b170/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론 | 35 | | **Member** | [정주영](https://www.linkedin.com/in/hereandynow/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론, 마케팅 데이터 분석 | 36 | | **Member** | [조보연](https://www.linkedin.com/in/namtaek-kwon/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론 | 37 | | **Member** | [최지환](https://www.linkedin.com/in/choi-ji-hwan/) | ![Python](https://img.shields.io/badge/Python-Expert-3776AB) ![BigQuery](https://img.shields.io/badge/BigQuery-4285F4) | 인과추론 | 38 | 39 | 40 | 41 | 42 | 43 | ## 💻 주차별 활동 (Activity History) 44 | 45 | - 매주 월요일 저녁 8시에 가짜연구소 디스코드에서 진행합니다. 46 | - 참고자료는 **Data Analytics for Marketing: A practical guide to analyzing marketing data using Python**입니다. 47 | - 주차별 진행사항은 변동될 수 있습니다. 48 | 49 | | 주차 | 날짜 | 내용 | 자료 | 발표자 | | 50 | | ------- | ---------- | --------------------------------- | ----- | --- | --- | 51 | | Week 1 | 2025/03/03 | OT | - | 권남택 | | 52 | | Week 2 | 2025/03/10 | 베이지안 리뷰 | - | 권남택 | | 53 | | Week 3 | 2025/03/17 | 인과추론 리뷰 | - | 신진수 | | 54 | | Week 4 | 2025/03/29 | ⭐가짜연구소 인과추론팀 Meet Up | - | - | | 55 | | Week 5 | 2025/03/31 | PyMC Basic + TVC | Ch.4 | 권남택 | | 56 | | Week 6 | 2025/04/07 | Various Attribution | Ch.11 | 길지홍 | | 57 | | Week 7 | 2025/04/14 | Experiment and Quasi-Experiment | Ch.13 | 유연승 | | 58 | | Week 8 | 2025/04/21 | Segmentation & RFM | Ch.7 | 조보연 | | 59 | | Week 9 | 2025/04/28 | ⭐가짜연구소 Magical Week 휴식 | - | - | | 60 | | Week 10 | 2025/05/05 | Customer Lifetime Value with PyMC | Ch.8 | 최지환 | | 61 | | Week 11 | 2025/05/12 | - | - | - | | 62 | | Week 12 | 2025/05/19 | MMM Fundamental with Robyn | Ch.12 | 권준혁 | | 63 | | Week 13 | 2025/05/26 | Modern MMM with PyMC & Meridian | Ch.12 | 정주영 | | 64 | 65 | 66 | 67 | - [가짜연구소 인과추론팀 블로그](https://causalinferencelab.github.io/) 68 | 69 | - [가짜연구소 블로그](https://pseudolab.github.io/) 70 | 71 | 72 | ## 🌱 참여 안내 73 | 74 | ### 지원 시 유의사항 75 | - 러너 신청 기간: **2/19-3/1** 76 | - **3/2에 러너 발표 예정이므로, 해당 날짜에 이메일(스팸 게시판 포함)과 Discord를 꼭 확인해 카톡방에 입장해, 3/4의 첫 모임에 지장이 가지 않도록 해주세요!** 77 | - 마케팅 도메인 경험 혹은 관심 권장 78 | 79 | **누구나 청강을 통해 모임을 참여하실 수 있습니다.** 80 | 1. 특별한 신청 없이 정기 모임 시간에 맞추어 디스코드 #Room-DH 채널로 입장 81 | 2. Magical Week 중 행사에 참가 82 | 3. Pseudo Lab 행사에서 만나기 83 | 84 | ## About Pseudo Lab 👋🏼 85 | 86 | [Pseudo-Lab](https://pseudo-lab.com/) is a non-profit organization focused on advancing machine learning and AI technologies. Our core values of Sharing, Motivation, and Collaborative Joy drive us to create impactful open-source projects. With over 5k+ researchers, we are committed to advancing machine learning and AI technologies. 87 | 88 |

Contributors 😃

89 | 90 | 91 | 92 |

93 | 94 |

License 🗞

95 | 96 | This project is licensed under the [MIT License](https://opensource.org/licenses/MIT). 97 | -------------------------------------------------------------------------------- /[Marketing_Science] Template.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/CausalInferenceLab/Marketing_Science/2d82c9645bdd6419a22c4ff90232084ec1068554/[Marketing_Science] Template.pptx --------------------------------------------------------------------------------