{"id":18339912,"url":"https://github.com/mxagar/statistics_with_python_coursera","last_synced_at":"2025-04-09T20:39:28.224Z","repository":{"id":106858033,"uuid":"446829837","full_name":"mxagar/statistics_with_python_coursera","owner":"mxagar","description":"My personal notes done while following the Coursera Specialization \"Statistics with Python\", from the University of Michingan, hosted by Dr. Brenda Gunderson.","archived":false,"fork":false,"pushed_at":"2023-02-28T16:37:29.000Z","size":68881,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T12:49:48.352Z","etag":null,"topics":["data-modeling","data-science","data-visualization","hypothesis-testing","machine-learning","pandas","python","statistics"],"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":"2022-01-11T13:22:31.000Z","updated_at":"2025-01-15T05:33:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"dadb2323-451b-4b46-8eb2-f839aa655621","html_url":"https://github.com/mxagar/statistics_with_python_coursera","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%2Fstatistics_with_python_coursera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fstatistics_with_python_coursera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fstatistics_with_python_coursera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mxagar%2Fstatistics_with_python_coursera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mxagar","download_url":"https://codeload.github.com/mxagar/statistics_with_python_coursera/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248109371,"owners_count":21049300,"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-modeling","data-science","data-visualization","hypothesis-testing","machine-learning","pandas","python","statistics"],"created_at":"2024-11-05T20:19:49.507Z","updated_at":"2025-04-09T20:39:28.189Z","avatar_url":"https://github.com/mxagar.png","language":"Jupyter Notebook","readme":"# Statistics with Python - Coursera / University of Michigan\n\nThese are my personal notes taken while following the Coursera Specialization [\"Statistics with Python\"](https://www.coursera.org/specializations/statistics-with-python), from the University of Michingan, hosted by Dr. Brenda Gunderson.\n\nThe Specialization is divided in three courses and each of one has a subfolder with the course notes:\n\n1. [Understanding and Visualizing Data with Python](https://www.coursera.org/learn/understanding-visualization-data?specialization=statistics-with-python): [`01_Visualization`](01_Visualization/Statistics_Python_1_Visuaization.md).\n3. [Inferential Statistical Analysis with Python](https://www.coursera.org/learn/inferential-statistical-analysis-python?specialization=statistics-with-python): [`02_Inference`](02_Inference/Statistics_Python_2_Inference.md).\n4. [Fitting Statistical Models to Data with Python](https://www.coursera.org/learn/fitting-statistical-models-data-python?specialization=statistics-with-python): [`03_Fitting_Models`](03_Fitting_Models/Statistics_Python_3_FittingModels.md).\n\nThe folder `utils` contains some cheatsheets from [Datacamp](https://www.datacamp.com), not pushed to the repository, by accessible from here:\n\n- [Cheatsheet for Numpy](https://www.datacamp.com/community/blog/python-numpy-cheat-sheet#gs.AK5ZBgE)\n- [Cheatsheet for Datawrangling](https://www.datacamp.com/community/blog/pandas-cheat-sheet-python#gs.HPFoRIc)\n- [Cheatsheet for Pandas](https://www.datacamp.com/community/blog/python-pandas-cheat-sheet#gs.oundfxM)\n- [Cheatsheet for SciPy](https://www.datacamp.com/community/blog/python-scipy-cheat-sheet#gs.JDSg3OI)\n- [Cheatsheet for Matplotlib](https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet#gs.uEKySpY)\n\nIn my case, the Coursera Specialization did not bring that much to me; I learned how to apply some statistical data analysis with pandas and python, since I had more experience with R, regarding statistics. **As far as the theory is concerned, I think that my notes contained in the following file are much more useful**:\n\n[`Statistical_Analysis_Notes.pdf`](Statistical_Analysis_Notes.pdf)\n\n#### TODOs\n\n- [x] Move my old notes on statistics to here.\n- [ ] Add a summary notebook on statistics based on these two Medium articles\n  - [Statistics 1](https://medium.com/@jonathan-hui/statistics-i-in-data-science-machine-learning-40444379dd43)\n  - [Statistics 2](https://jonathan-hui.medium.com/statistics-ii-in-data-science-machine-learning-d3daad84dae4)\n\n\nMikel Sagardia, 2022.  \nNo guarantees.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fstatistics_with_python_coursera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmxagar%2Fstatistics_with_python_coursera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmxagar%2Fstatistics_with_python_coursera/lists"}