{"id":21513823,"url":"https://github.com/joshuathadi/datascienceecosystem","last_synced_at":"2025-03-17T15:45:00.703Z","repository":{"id":262271557,"uuid":"886729778","full_name":"JoshuaThadi/IBM-Data-Science","owner":"JoshuaThadi","description":"Assignment of the course","archived":false,"fork":false,"pushed_at":"2025-03-07T05:38:38.000Z","size":1625,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-07T06:27:29.208Z","etag":null,"topics":["coursera-assignment","data-science"],"latest_commit_sha":null,"homepage":"https://github.com/JoshuaThadi/DataScienceEcosystem.git","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JoshuaThadi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-11T13:55:47.000Z","updated_at":"2025-03-07T05:38:42.000Z","dependencies_parsed_at":"2025-03-07T06:37:38.121Z","dependency_job_id":null,"html_url":"https://github.com/JoshuaThadi/IBM-Data-Science","commit_stats":null,"previous_names":["joshuathadi/datascienceecosystem","joshuathadi/ibm-data-science"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JoshuaThadi%2FIBM-Data-Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JoshuaThadi%2FIBM-Data-Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JoshuaThadi%2FIBM-Data-Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JoshuaThadi%2FIBM-Data-Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JoshuaThadi","download_url":"https://codeload.github.com/JoshuaThadi/IBM-Data-Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244060377,"owners_count":20391526,"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":["coursera-assignment","data-science"],"created_at":"2024-11-23T23:18:04.899Z","updated_at":"2025-03-17T15:45:00.697Z","avatar_url":"https://github.com/JoshuaThadi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/JoshuaThadi/IBM-Data-Science/blob/main/coursera.png\" width=\"200\"\u003e\n\u003c/p\u003e\n\n---\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://www.coursera.org/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Coursera-Join%20Coursera%20Course-blue?style=for-the-badge\u0026logo=coursera\u0026logoColor=white\" alt=\"Coursera\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n# Data Science Assignment\n\nWelcome to the Data Science assignment repository! This assignment, developed as part of a Coursera course, covers key data science concepts and practical coding exercises in Jupyter Notebook. Below is a summary of what you will find in this repository.\n\n## Objectives\n\n- Understand and list popular languages used in Data Science\n- Explore essential libraries and tools for data science workflows\n- Apply basic arithmetic operations within a Jupyter Notebook\n- Perform unit conversions (e.g., converting minutes to hours)\n- Practice using Markdown and Code cells in Jupyter Notebook\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshuathadi%2Fdatascienceecosystem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoshuathadi%2Fdatascienceecosystem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshuathadi%2Fdatascienceecosystem/lists"}