{"id":16228390,"url":"https://github.com/mrsaeeddev/data-science-roadmap-for-beginners","last_synced_at":"2025-06-29T03:34:08.503Z","repository":{"id":123097003,"uuid":"247806015","full_name":"mrsaeeddev/data-science-roadmap-for-beginners","owner":"mrsaeeddev","description":"📈 A minimal and easy road map for beginners who want to dive into the field of Data Science","archived":false,"fork":false,"pushed_at":"2020-04-05T04:27:03.000Z","size":3,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-08T04:44:19.767Z","etag":null,"topics":["data","data-science","datascience","python"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mrsaeeddev.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":"2020-03-16T20:03:21.000Z","updated_at":"2022-05-29T20:45:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"f597a7e1-327e-47f9-a135-3668be49b20d","html_url":"https://github.com/mrsaeeddev/data-science-roadmap-for-beginners","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mrsaeeddev/data-science-roadmap-for-beginners","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrsaeeddev%2Fdata-science-roadmap-for-beginners","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrsaeeddev%2Fdata-science-roadmap-for-beginners/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrsaeeddev%2Fdata-science-roadmap-for-beginners/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrsaeeddev%2Fdata-science-roadmap-for-beginners/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrsaeeddev","download_url":"https://codeload.github.com/mrsaeeddev/data-science-roadmap-for-beginners/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrsaeeddev%2Fdata-science-roadmap-for-beginners/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262528282,"owners_count":23324527,"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","data-science","datascience","python"],"created_at":"2024-10-10T12:55:13.018Z","updated_at":"2025-06-29T03:34:08.481Z","avatar_url":"https://github.com/mrsaeeddev.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction\n\nData Science is an emerging field that everyone wants to pursue due to the hype. It's a great field and it opens new horizons of learning for every professional in general and engineers in particular. It's said that in near-future everyone would need to be data-aware or basic know-how of data science and its concepts will be necessary for everyone working in the professional world. \n\n# Data Science Beginner RoadMap\n\nAlthough there are many advanced resources for anyone aspiring to be a Data Scientist, what I feel and previously felt as well that online resources are either too advanced for newbies or they are too easier to get recognized by an employer. \n\nIn this repo, I will be sharing a curated list to topics, practical projects or tutorials which will help you not only in getting proficient in Data Science in general but will also help you to get a job as well.\n\n# Important things for starting a Data Science career\n- Maths \u0026 Stats knowledge\n- Real-world projects\n- Domain expertise or know-how\n\n# Data Science at Big Companies\n\n1. Uber: https://eng.uber.com/\n2. OLX: https://www.slideshare.net/AlexeyGrigorev/data-science-at-olx\n3. Lyft: https://eng.lyft.com/tagged/data-science\n4. Bolt: https://medium.com/bolt-labs/tagged/data-science\n5. Walmart: https://medium.com/walmartlabs/tagged/data-science","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrsaeeddev%2Fdata-science-roadmap-for-beginners","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrsaeeddev%2Fdata-science-roadmap-for-beginners","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrsaeeddev%2Fdata-science-roadmap-for-beginners/lists"}