{"id":18339994,"url":"https://github.com/mxagar/datacamp_notes","last_synced_at":"2025-04-09T20:40:24.420Z","repository":{"id":154633587,"uuid":"615953243","full_name":"mxagar/datacamp_notes","owner":"mxagar","description":"These are my personal notes of several data science and engineering courses from Datacamp.","archived":false,"fork":false,"pushed_at":"2023-05-03T08:43:18.000Z","size":2309,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T12:50:47.727Z","etag":null,"topics":["data-engineering","data-science","guide","machine-learning"],"latest_commit_sha":null,"homepage":"","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/mxagar.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":"2023-03-19T07:02:45.000Z","updated_at":"2024-07-12T18:20:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"0c2f63fb-4966-4faa-87e6-adeeeba702e3","html_url":"https://github.com/mxagar/datacamp_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/mxagar%2Fdatacamp_notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fdatacamp_notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fdatacamp_notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fdatacamp_notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mxagar","download_url":"https://codeload.github.com/mxagar/datacamp_notes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248109606,"owners_count":21049341,"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-engineering","data-science","guide","machine-learning"],"created_at":"2024-11-05T20:20:30.870Z","updated_at":"2025-04-09T20:40:24.401Z","avatar_url":"https://github.com/mxagar.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Datacamp Notes\n\nThese are my personal notes of several data science and engineering courses from [Datacamp](https://www.datacamp.com).\n\nDatacamp is organized in single *courses* and *tracks*, which contain several single courses arranged in a learning order. Each one of the tracks/courses I did and considered interesting has a dedicated folder with its guide (markdown), code and additional material.\n\nList of courses / tracks:\n\n- [Analyzing IoT Data in Python](https://app.datacamp.com/learn/courses/analyzing-iot-data-in-python): [`Course_IoT`](Course_IoT).\n- [Extreme Gradient Boosting with XGBoost](https://app.datacamp.com/learn/courses/extreme-gradient-boosting-with-xgboost): [`Course_XGBoost`](Course_XGBoost).\n\u003c!--\n- [Data Engineer with Python](https://app.datacamp.com/learn/career-tracks/data-engineer-with-python): [`Track_DataEngineer`](Track_DataEngineer).\n--\u003e\n\nI have done some other courses from [Datacamp](https://www.datacamp.com), but the notes are located in domain-specific repositories I had before; for instance:\n\n- [spark_big_data_guide](https://github.com/mxagar/spark_big_data_guide)\n- [space_exploration](https://github.com/mxagar/space_exploration)\n- [sql_guide](https://github.com/mxagar/sql_guide)\n- [data_science_udacity](https://github.com/mxagar/data_science_udacity)\n- etc.\n\nMikel Sagardia, 2023.  \nNo guarantees.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fdatacamp_notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmxagar%2Fdatacamp_notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fdatacamp_notes/lists"}