{"id":22540433,"url":"https://github.com/sureshbeekhani/statistics-for-data-science-learining","last_synced_at":"2025-03-28T07:20:22.533Z","repository":{"id":265277526,"uuid":"894568018","full_name":"SURESHBEEKHANI/Statistics-For-Data-Science-learining","owner":"SURESHBEEKHANI","description":"This repository is dedicated to providing a comprehensive learning path for mastering statistics in the field of data science","archived":false,"fork":false,"pushed_at":"2024-12-05T08:37:36.000Z","size":97,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-02T08:13:20.130Z","etag":null,"topics":["conditional-probability","descriptive","descriptive-statistics","inferential","probability-distributions","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/SURESHBEEKHANI.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":"2024-11-26T15:28:39.000Z","updated_at":"2024-12-11T07:50:16.000Z","dependencies_parsed_at":"2024-11-28T17:42:18.738Z","dependency_job_id":null,"html_url":"https://github.com/SURESHBEEKHANI/Statistics-For-Data-Science-learining","commit_stats":null,"previous_names":["sureshbeekhani/statistics-for-data-science-learining"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FStatistics-For-Data-Science-learining","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FStatistics-For-Data-Science-learining/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FStatistics-For-Data-Science-learining/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SURESHBEEKHANI%2FStatistics-For-Data-Science-learining/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SURESHBEEKHANI","download_url":"https://codeload.github.com/SURESHBEEKHANI/Statistics-For-Data-Science-learining/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245984863,"owners_count":20704861,"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":["conditional-probability","descriptive","descriptive-statistics","inferential","probability-distributions","statistics"],"created_at":"2024-12-07T12:10:54.669Z","updated_at":"2025-03-28T07:20:22.513Z","avatar_url":"https://github.com/SURESHBEEKHANI.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Statistics for Data Science Learning\n\nWelcome to the **Statistics for Data Science Learning** repository! This repository is designed to help learners understand and apply key statistical concepts in the context of data science. The materials here cover a variety of topics, from basic statistics to intermediate-level techniques used in data analysis and machine learning.\n\n## Table of Contents\n\n- [Repository Overview](#repository-overview)\n- [Installation](#installation)\n- [Usage](#usage)\n- [File Structure](#file-structure)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Repository Overview\n\nThis repository contains Jupyter notebooks with explanations, examples, and exercises on various statistical topics. The focus is on providing hands-on experience with real-world datasets and problem-solving techniques that are essential for data scientists.\n\n### Topics Covered\n\n1. **Basic Statistics**  \n   - Descriptive statistics (mean, median, mode, etc.)\n   - Probability distributions\n   - Sampling and hypothesis testing\n\n2. **Intermediate Statistics**  \n   - Regression analysis (linear, logistic)\n   - Analysis of variance (ANOVA)\n   - Time series analysis\n\n## Installation\n\nTo get started, clone this repository to your local machine:\n\n```bash\ngit clone https://github.com/SURESHBEEKHANI/Statistics-For-Data-Science-learining.git\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Fstatistics-for-data-science-learining","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsureshbeekhani%2Fstatistics-for-data-science-learining","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsureshbeekhani%2Fstatistics-for-data-science-learining/lists"}