{"id":22075923,"url":"https://github.com/sevdanurgenc/python-for-data-science-lecture-notes","last_synced_at":"2025-03-23T20:13:37.542Z","repository":{"id":41291349,"uuid":"467285188","full_name":"SevdanurGENC/Python-For-Data-Science-Lecture-Notes","owner":"SevdanurGENC","description":"In this repo, I have the course contents of Python for Data Science training, which will be given to Siemens by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 June - 1 July 2022.","archived":false,"fork":false,"pushed_at":"2022-07-01T10:29:39.000Z","size":8951,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-29T03:47:05.526Z","etag":null,"topics":["data-analysis","data-mining","data-modeling","data-science","data-structure","data-visualization","matplotlib-tutorial","numpy-tutorial","pandas-tutorial"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SevdanurGENC.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-03-07T22:52:50.000Z","updated_at":"2023-03-20T20:43:58.000Z","dependencies_parsed_at":"2022-08-30T05:10:36.437Z","dependency_job_id":null,"html_url":"https://github.com/SevdanurGENC/Python-For-Data-Science-Lecture-Notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SevdanurGENC%2FPython-For-Data-Science-Lecture-Notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SevdanurGENC%2FPython-For-Data-Science-Lecture-Notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SevdanurGENC%2FPython-For-Data-Science-Lecture-Notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SevdanurGENC%2FPython-For-Data-Science-Lecture-Notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SevdanurGENC","download_url":"https://codeload.github.com/SevdanurGENC/Python-For-Data-Science-Lecture-Notes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245162189,"owners_count":20570692,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-mining","data-modeling","data-science","data-structure","data-visualization","matplotlib-tutorial","numpy-tutorial","pandas-tutorial"],"created_at":"2024-11-30T22:11:37.969Z","updated_at":"2025-03-23T20:13:37.509Z","avatar_url":"https://github.com/SevdanurGENC.png","language":"Jupyter Notebook","readme":"# Python-For-Data-Science-Lecture-Notes\n\n![image](https://user-images.githubusercontent.com/5441882/157131878-60dc180b-85be-43eb-8c63-910ebeb77e84.png)\n\nIn this repo, I have the course contents of Python for Data Science training, which will be given to Siemens by the cooperation of Academy Peak Information Technologies Training and Consultancy between 28 June - 1 July 2022.\n\nBu repoda, 28 Haziran - 1 Temmuz 2022 tarihleri arasında Academy Peak Bilgi Teknolojileri Eğitim ve Danışmanlık işbirliği ile Siemens'e verilecek olan Veri Bilimi için Python eğitiminin ders içerikleri bulunmaktadır.\n\n## 1. GÜN\n- Python 101\n- Statistic\n\n## 2. GÜN\n- Manipulation\n- Preprocessing 01\n\n## 3. GÜN\n- Preprocessing 02\n- Visualization 01\n- WorkShop 01\n\n## 4. GÜN\n- Visualization 02\n- Intro to Machine Learning\n- WorkShop 02\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsevdanurgenc%2Fpython-for-data-science-lecture-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsevdanurgenc%2Fpython-for-data-science-lecture-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsevdanurgenc%2Fpython-for-data-science-lecture-notes/lists"}