{"id":18322162,"url":"https://github.com/dataideaorg/dataidea-r","last_synced_at":"2025-07-13T00:35:37.383Z","repository":{"id":256199400,"uuid":"852058576","full_name":"dataideaorg/dataidea-R","owner":"dataideaorg","description":"DATAIDEA R Programming Subject","archived":false,"fork":false,"pushed_at":"2024-09-09T13:49:53.000Z","size":5511,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-09T14:42:20.880Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dataideaorg.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-04T06:42:19.000Z","updated_at":"2025-02-27T10:51:43.000Z","dependencies_parsed_at":"2024-09-09T15:13:03.147Z","dependency_job_id":"20149013-8547-406a-b6b8-2fe3ea016870","html_url":"https://github.com/dataideaorg/dataidea-R","commit_stats":null,"previous_names":["dataideaorg/dataidea-r"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dataideaorg/dataidea-R","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fdataidea-R","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fdataidea-R/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fdataidea-R/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fdataidea-R/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dataideaorg","download_url":"https://codeload.github.com/dataideaorg/dataidea-R/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dataideaorg%2Fdataidea-R/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265075854,"owners_count":23707511,"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":[],"created_at":"2024-11-05T18:23:34.250Z","updated_at":"2025-07-13T00:35:37.315Z","avatar_url":"https://github.com/dataideaorg.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Welcome to DATAIDEA\nJuma Shafara\n2023-11-01\n\n\u003c!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --\u003e\n\u003c!-- Introduction Section --\u003e\n\u003csection class=\"py-2 pt-0\"\u003e\n\u003chr/\u003e\n\n\u003cdiv class=\"container\"\u003e\n\n\u003ch1 class=\"text-center border-bottom-1\"\u003e\nProgramming for Data Science with R\n\u003c/h1\u003e\n\u003c!-- \u003cp class=\"text-center\"\u003eA comprehensive and dynamic course designed to equip you with the skills to thrive in data science using the R Language.\u003c/p\u003e --\u003e\n\n\u003cdiv class=\"row\"\u003e\n\n\u003c!-- \u003cdiv class=\"col-md-6\"\u003e\n\u003cimg src=\"./assets/data_science.jpg\" alt=\"Data Science Overview\" class=\"img-fluid\"\u003e\n\u003c/div\u003e --\u003e\n\n\u003cdiv class=\"col-md-6\"\u003e\n\n\u003cp\u003e\nThis subject offers a structured path to mastering the tools and\ntechniques that drive data-driven decision-making in today’s industries.\nWhether you are a beginner looking to start your journey or an\nexperienced professional aiming to deepen your expertise, this course\nhas something for everyone.\n\u003c/p\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003c/section\u003e\n\u003c!-- Course Modules Section --\u003e\n\u003csection class=\"pt-2\" style=\"background: #f3f4f7;\"\u003e\n\n\u003cdiv class=\"container\"\u003e\n\n\u003ch2 class=\"text-center mb-2\"\u003e\nWhat You Will Learn\n\u003c/h2\u003e\n\n\u003cdiv class=\"d-md-flex\"\u003e\n\n\u003ca href=\"https://r.dataidea.org/R-Course/01_R_Overview.html\" class=\"mx-2 text-decoration-none\"\u003e\n\n\u003cdiv class=\"card mb-4\"\u003e\n\n\u003cimg src=\"./assets/r_programming.jpg\" class=\"card-img-top\" alt=\"R Programming Fundamentals\"\u003e\n\n\u003cdiv class=\"card-body\"\u003e\n\n\u003ch5 class=\"card-title fw-bold text-decoration-underline\"\u003e\nR Programming Fundamentals\n\u003c/h5\u003e\n\u003cp class=\"card-text\"\u003e\nStart with the basics of R, a versatile and powerful programming\nlanguage. This course lays the foundation for your data science journey\n\u003ci class=\"bi bi-arrow-right-circle\"\u003e\u003c/i\u003e\n\u003c/p\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003c/a\u003e\n\u003ca href=\"https://science.dataidea.org/R-Data-Analysis/outline.html\" class=\"mx-2 text-decoration-none\"\u003e\n\n\u003cdiv class=\"card mb-4\"\u003e\n\n\u003cimg src=\"./assets/r_data_analysis.jpg\" class=\"card-img-top\" alt=\"Data Analysis\"\u003e\n\n\u003cdiv class=\"card-body\"\u003e\n\n\u003ch5 class=\"card-title fw-bold text-decoration-underline\"\u003e\nR Data Analysis\n\u003c/h5\u003e\n\u003cp class=\"card-text\"\u003e\nExplore data analysis using various libraries. Learn to transform raw\ndata into actionable insights \u003ci class=\"bi bi-arrow-right-circle\"\u003e\u003c/i\u003e\n\u003c/p\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003c/a\u003e\n\n\u003c/div\u003e\n\n\u003cdiv class=\"d-md-flex\"\u003e\n\n\u003c!-- \u003ca href=\"https://science.dataidea.org/Python-Data-Analysis/Week4-ML-Intro/41_overview_of_machine_learning.html\" class=\"mx-2 text-decoration-none\"\u003e\n\u003cdiv class=\"card mb-4\"\u003e\n\u003cimg src=\"./assets/python_machine_learning.jpg\" class=\"card-img-top\" alt=\"Machine Learning\"\u003e\n\u003cdiv class=\"card-body\"\u003e\n\u003ch5 class=\"card-title fw-bold text-decoration-underline\"\u003eMachine Learning (Python)\u003c/h5\u003e\n\u003cp class=\"card-text\"\u003eDiscover the principles of machine learning and gain hands-on experience in building and optimizing models \u003ci class=\"bi bi-arrow-right-circle\"\u003e\u003c/i\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003c/a\u003e --\u003e\n\u003c!-- \u003ca href=\"https://science.dataidea.org/Pytorch-Deep-Learning/outline.html\" class=\"mx-2 text-decoration-none\"\u003e\n\u003cdiv class=\"card mb-4\"\u003e\n\u003cimg src=\"./assets/pytorch_deep_learning.jpg\" class=\"card-img-top\" alt=\"Deep Learning with PyTorch\"\u003e\n\u003cdiv class=\"card-body\"\u003e\n\u003ch5 class=\"card-title fw-bold text-decoration-underline\"\u003ePyTorch Deep Learning\u003c/h5\u003e\n\u003cp class=\"card-text\"\u003eDive deep into neural networks and learn to build advanced models using PyTorch \u003ci class=\"bi bi-arrow-right-circle\"\u003e\u003c/i\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003c/div\u003e\n\u003c/a\u003e --\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003c/section\u003e\n\u003c!-- Why Choose Us Section --\u003e\n\u003csection class=\"pt-2 pb-4\"\u003e\n\n\u003cdiv class=\"container\"\u003e\n\n\u003ch2 class=\"text-center\"\u003e\nWhy Choose This Course?\n\u003c/h2\u003e\n\u003cul class=\"list-group list-group-flush\"\u003e\n\u003cli class=\"list-group-item\"\u003e\n\u003cstrong\u003eHands-On Learning:\u003c/strong\u003e Each module is designed with\npractical exercises and real-world projects to ensure you can apply what\nyou’ve learned.\n\u003c/li\u003e\n\u003cli class=\"list-group-item\"\u003e\n\u003cstrong\u003eFlexible Learning Path:\u003c/strong\u003e Choose to follow the entire\ncourse or focus on specific modules that meet your individual learning\ngoals.\n\u003c/li\u003e\n\u003cli class=\"list-group-item\"\u003e\n\u003cstrong\u003eExpert Guidance:\u003c/strong\u003e Gain insights from industry\nprofessionals who are passionate about data science and dedicated to\nyour success.\n\u003c/li\u003e\n\u003cli class=\"list-group-item\"\u003e\n\u003cstrong\u003eCareer-Ready Skills:\u003c/strong\u003e By the end of this course, you’ll\nbe ready to tackle data science challenges, whether you’re transitioning\ncareers or enhancing your current role.\n\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003c/div\u003e\n\n\u003c/section\u003e\n\u003c!-- Newsletter --\u003e\n\n\u003cdiv class=\"newsletter\"\u003e\n\n\u003cdiv class=\"newsletter-heading\"\u003e\n\n\u003ch4\u003e\n\u003ci class=\"bi bi-info-circle-fill\"\u003e\u003c/i\u003e Don’t Miss Any Updates!\n\u003c/h4\u003e\n\n\u003c/div\u003e\n\n\u003cdiv class=\"newsletter-body\"\u003e\n\n\u003cp\u003e\nBefore we continue, we have a humble request, to be among the first to\nhear about future updates of the course materials, simply enter your\nemail below, follow us on\n\u003ca href=\"https://x.com/dataideaorg\"\u003e\u003ci class=\"bi bi-twitter-x\"\u003e\u003c/i\u003e\n(formally Twitter)\u003c/a\u003e, or subscribe to our\n\u003ca href=\"https://www.youtube.com/@dataideaorg\"\u003e\u003ci class=\"bi bi-youtube\"\u003e\u003c/i\u003e\nYouTube channel\u003c/a\u003e.\n\u003c/p\u003e\n\u003ciframe class=\"newsletter-frame\" src=\"https://embeds.beehiiv.com/5fc7c425-9c7e-4e08-a514-ad6c22beee74?slim=true\" data-test-id=\"beehiiv-embed\" height=\"52\" frameborder=\"0\" scrolling=\"no\"\u003e\n\u003c/iframe\u003e\n\n\u003c/div\u003e\n\n\u003c/div\u003e\n\n\u003ch2\u003e\nAbout the Author:\n\u003c/h2\u003e\n\nHi, My name is Juma Shafara. Am a Data Scientist and Instructor at\nDATAIDEA. I have taught hundreds of peope Programming, Data Analysis and\nMachine Learning. I also enjoy developing innovative algorithms and\nmodels that can drive insights and value. I regularly share some content\nthat I find useful throughout my learning/teaching journey to simplify\nconcepts in Machine Learning, Mathematics, Programming, and related\ntopics on my website\n[jumashafara.dataidea.org](https://jumashafara.dataidea.org). Besides\nthese //technical stuff, I enjoy watching soccer, movies and reading\nmystery books.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataideaorg%2Fdataidea-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdataideaorg%2Fdataidea-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataideaorg%2Fdataidea-r/lists"}