{"id":24756212,"url":"https://github.com/jaredblumer/learn-data-analysis","last_synced_at":"2025-06-15T10:04:18.518Z","repository":{"id":247129183,"uuid":"825079050","full_name":"jaredblumer/learn-data-analysis","owner":"jaredblumer","description":"A curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.","archived":false,"fork":false,"pushed_at":"2024-07-07T13:27:43.000Z","size":18,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T04:23:22.619Z","etag":null,"topics":["automation","data-science","deep-learning","machine-learning","programming","statistics"],"latest_commit_sha":null,"homepage":"","language":null,"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/jaredblumer.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":"2024-07-06T17:54:54.000Z","updated_at":"2024-07-07T13:27:47.000Z","dependencies_parsed_at":"2024-07-27T00:46:12.917Z","dependency_job_id":"6cd684a7-65f0-41de-a264-ff42d11cbad7","html_url":"https://github.com/jaredblumer/learn-data-analysis","commit_stats":null,"previous_names":["shyblumer/data-analysis-resources","jaredblumer/learn-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jaredblumer/learn-data-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaredblumer%2Flearn-data-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaredblumer%2Flearn-data-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaredblumer%2Flearn-data-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaredblumer%2Flearn-data-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaredblumer","download_url":"https://codeload.github.com/jaredblumer/learn-data-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaredblumer%2Flearn-data-analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259957088,"owners_count":22937535,"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":["automation","data-science","deep-learning","machine-learning","programming","statistics"],"created_at":"2025-01-28T13:40:36.283Z","updated_at":"2025-06-15T10:04:18.495Z","avatar_url":"https://github.com/jaredblumer.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Learn Data Analysis\n\nWelcome to our curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.\n\n## Data Science and Statistics\n\n- [R for Data Science](https://r4ds.hadley.nz/) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund\n- [The Elements of Statistical Learning: Data Mining, Inference, and Prediction](https://hastie.su.domains/Papers/ESLII.pdf) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman\n- [Introduction to Probability](https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/edit) by Joseph K. Blitzstein and Jessica Hwang\n- [Think Stats: Exploratory Data Analysis in Python](https://greenteapress.com/thinkstats2/thinkstats2.pdf) by Allen B. Downey\n\n## Machine Learning and Deep Learning\n\n- [Deep Learning with Python](https://sourestdeeds.github.io/pdf/Deep%20Learning%20with%20Python.pdf) by François Chollet\n- [Machine Learning Mastery Books](https://github.com/jbrownlee/Books) by Jason Brownlee, PhD\n\n## Programming and Automation\n\n- [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/) by Al Sweigart\n- [Learn X in Y Minutes](https://learnxinyminutes.com/) by Adam Bard\n\n## Data Sources\n\n- [UC Irvine Machine Learning Repository](https://archive.ics.uci.edu/)\n- [New York Academy of Medicine Data Sets](https://www.nyam.org/library/collections-and-resources/data-sets/)\n- [data.world Data Sets](https://data.world/datasets/health)\n- [National Cancer Institute](https://seer.cancer.gov/)\n\n## Acknowledgements\nA special thank you to [Rose Dasgupta, PhD, MPH, MHI, MS](https://github.com/pritikadasgupta) (they/them/he/him/ze/zir) for compiling these resources.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaredblumer%2Flearn-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaredblumer%2Flearn-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaredblumer%2Flearn-data-analysis/lists"}