{"id":41801222,"url":"https://github.com/acclab/moda","last_synced_at":"2026-01-25T06:02:09.298Z","repository":{"id":65623809,"uuid":"559774441","full_name":"ACCLAB/moda","owner":"ACCLAB","description":"Modern Data Analysis seminar","archived":false,"fork":false,"pushed_at":"2025-11-04T07:56:00.000Z","size":11192,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-11-04T09:23:09.990Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://acclab.github.io/moda/","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/ACCLAB.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-10-31T04:02:37.000Z","updated_at":"2025-11-04T07:54:30.000Z","dependencies_parsed_at":"2023-02-17T03:46:06.945Z","dependency_job_id":"7acaf67d-0af3-4e9a-9dd1-54d750afb65a","html_url":"https://github.com/ACCLAB/moda","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ACCLAB/moda","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2Fmoda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2Fmoda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2Fmoda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2Fmoda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ACCLAB","download_url":"https://codeload.github.com/ACCLAB/moda/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2Fmoda/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28745836,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-25T05:12:38.112Z","status":"ssl_error","status_checked_at":"2026-01-25T05:04:50.338Z","response_time":113,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":"2026-01-25T06:02:08.775Z","updated_at":"2026-01-25T06:02:09.291Z","avatar_url":"https://github.com/ACCLAB.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Modern Data Analysis\n\n\n\u003c!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --\u003e\n\nBy [Sangyu Xu](https://xusangyu.com/), [Joses\nHo](https://twitter.com/jacuzzijo), [Yishan\nMai](https://twitter.com/myish_irl), and [Adam\nClaridge-Chang](http://www.claridgechang.net/)\n\n### Introducing biomedical scientists to data analysis with Python\n\nThe goal of this class is to introduce biomedical scientists to data\nanalysis with Python notebooks. Ideally, this should be a semester-long\ncourse. This 2-hour class is presented to two groups.\n\n- Duke-NUS PhD programme in Clinical and Translational Sciences.\n  Foundations of Precision Medicine Hands-on Workshops (GMS6812).\n- Duke-NUS PhD programme in Integrated Biology and Medicine. Ethics and\n  Personal and Professional Development Sessions.\n\n### The class has the following steps\n\n1.  **Preparation 1.** Read the\n    [Introduction](https://acclab.github.io/moda/introduction.html) and\n    install the prerequisite software on your laptop.\n2.  **Preparation 2.** Go through a [Quick Tour of the\n    Notebook](https://acclab.github.io/moda/quick_tour_of_the_notebook.html)\n    to familiarise yourself to the jupyter notebook environment.\n3.  **Session Coding.** Bring your laptop to class, and we will go\n    through the examples in [Data Analysis with\n    Jupyter](https://acclab.github.io/moda/data_analysis_with_jupyter_and_python.html).\n4.  **Lecture.** Crash course on the history of and key issues in data\n    visualization.\n5.  **Short introduction to estimation and LLMs.** Introduction to\n    estimation statistics [web app](https://www.estimationstats.com/#/)\n    and [python\n    package](https://acclab.github.io/moda/dabest_introduction.html).\n6.  **Continuing education.** Review the Additional Resources page to\n    continue your self-education in data analysis.\n\nIf you have any questions about these materials, please contact your\ncourse coordinator.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facclab%2Fmoda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facclab%2Fmoda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facclab%2Fmoda/lists"}