{"id":21843416,"url":"https://github.com/pythoncoderunicorn/mydatacamp","last_synced_at":"2026-05-18T19:04:54.011Z","repository":{"id":264719639,"uuid":"894188117","full_name":"PythonCoderUnicorn/myDataCamp","owner":"PythonCoderUnicorn","description":"a repo for all of my DataCamp courses with datasets  ","archived":false,"fork":false,"pushed_at":"2024-11-26T17:25:24.000Z","size":54866,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-21T16:17:58.950Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Roff","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/PythonCoderUnicorn.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":"2024-11-25T23:02:53.000Z","updated_at":"2024-11-26T17:25:28.000Z","dependencies_parsed_at":"2025-03-21T16:27:19.946Z","dependency_job_id":null,"html_url":"https://github.com/PythonCoderUnicorn/myDataCamp","commit_stats":null,"previous_names":["pythoncoderunicorn/mydatacamp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PythonCoderUnicorn/myDataCamp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PythonCoderUnicorn%2FmyDataCamp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PythonCoderUnicorn%2FmyDataCamp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PythonCoderUnicorn%2FmyDataCamp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PythonCoderUnicorn%2FmyDataCamp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PythonCoderUnicorn","download_url":"https://codeload.github.com/PythonCoderUnicorn/myDataCamp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PythonCoderUnicorn%2FmyDataCamp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278770726,"owners_count":26042828,"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","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":"2024-11-27T22:15:04.442Z","updated_at":"2025-10-07T12:03:52.433Z","avatar_url":"https://github.com/PythonCoderUnicorn.png","language":"Roff","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# my DataCamp\n\n\u003cimg height=150 align=\"right\" src=\"https://github.com/user-attachments/assets/36b227ec-21f6-429c-b1a2-148d561eadf8\"\u003e\n\u003cbr\u003e\n\nA repo for all of my DataCamp courses that i went through with datasets (as many as i could get). Courses are in Python and R. \nNot all datasets were available nor accessible for the courses and were often different subsets or too difficult to retrieve from their platform. Of course datacamp has \ndatasets that can be downloaded [https://www.datacamp.com/datalab/datasets] but none of these were used in the courses. \n\nOddly enough, some courses pointed to Kaggle for datasets, so if I missed something it could be there (maybe I missed finding it).\n\n\n\u003cbr\u003e\n\n## R learning courses (not in order)\n\n- base url: https://app.datacamp.com/learn/courses/\n- no data = no datasets in the course assets folder\n\n```\ncase-studies-network-analysis-in-r\npredictive-analytics-using-networked-data-in-r\nnetwork-analysis-in-r\nsentiment-analysis-in-r\ntext-mining-with-bag-of-words-in-r\nstring-manipulation-with-stringr-in-r\nintroduction-to-text-analysis-in-r\nintroduction-to-git\njoining-data-in-sql\nintermediate-sql\nfeature-engineering-in-r                     # no data\nmachine-learning-for-business                # no data\ndeveloping-r-packages                        # no data\nintermediate-importing-data-in-r\nfoundations-of-inference-in-r\nfactor-analysis-in-r\nfundamentals-of-bayesian-data-analysis-in-r\nsurvival-analysis-in-r\nhierarchical-and-mixed-effects-models-in-r\nanalyzing-survey-data-in-r\nfoundations-of-probability-in-r              # no data\nunsupervised-learning-in-r\nsupervised-learning-in-r-regression\nsupervised-learning-in-r-classification\nexperimental-design-in-r\nhypothesis-testing-in-r \nsampling-in-r\nintermediate-regression-in-r\nintroduction-to-regression-in-r\nexploratory-data-analysis-in-r\nintroduction-to-writing-functions-in-r\nworking-with-dates-and-times-in-r\ncleaning-data-in-r\nintroduction-to-importing-data-in-r\ndata-communication-concepts                  # no data\nintermediate-data-visualization-with-ggplot2\nintroduction-to-data-visualization-with-ggplot2\njoining-data-with-dplyr\ndata-manipulation-with-dplyr\nintroduction-to-the-tidyverse\nintermediate-r\nfree-introduction-to-r\nhypothesis-testing-in-python\nsampling-in-python\nexploratory-data-analysis-in-python\nintroduction-to-data-visualization-with-seaborn\nintroduction-to-statistics-in-python\njoining-data-with-pandas\nintroduction-to-statistics-in-r\nintro-to-python-for-data-science\nintermediate-python\nmarketing-analytics-predicting-customer-churn-in-python  # had R option\nbayesian-modeling-with-rjags\nintroduction-to-natural-language-processing-in-r\nintroduction-to-natural-language-processing-in-python\nbayesian-regression-modeling-with-rstanarm\ncategorical-data-in-the-tidyverse\nmanipulating-time-series-data-in-r\nmachine-learning-for-marketing-analytics-in-r/\n/ab-testing-in-r\n/linear-algebra-for-data-science-in-r\nvisualization-best-practices-in-r\n/reshaping-data-with-tidyr\ncase-study-exploratory-data-analysis-in-r\n/tidyverse-fundamentals\nmodeling-with-data-in-the-tidyverse\n/communicating-with-data-in-the-tidyverse\n/interactive-maps-with-leaflet-in-r\nstatistical-inference-with-r\n\nmachine-learning-scientist-with-r :\n  machine-learning-in-the-tidyverse\n  cluster-analysis-in-r\n  machine-learning-with-caret-in-r\n  machine-learning-with-tree-based-models-in-r\n  dimensionality-reduction-in-r/\n  support-vector-machines-in-r\n  hyperparameter-tuning-in-r\n  bayesian-regression-modeling-with-rstanarm\n  introduction-to-spark-with-sparklyr-in-r\n\ncourses part of Machine Learning Scientist skill track:\nsupervised learning: classification      \nsupervised learning: regression         \nfeature engineering                      \nunsupervised learning               \nML in the tidyverse                    \nintermediate regression                 \ncluster analysis                          \nML with caret                            \nmodeling with tidymodels                 \nML with tree based models                \ndimension reduction                       \nsupport vector machines                   \nfundamentals of bayesian data analysis    \nhyperparameter tuning                     \nbayesian regression modeling with rstandarm   \nintro to Spark with sparlyr               \n```\n\nR projects \n\n```\nhttps://app.datacamp.com/learn/courses/hr-analytics-exploring-employee-data-in-r\n\nCUSTOMER BUYING CYCLES IN GROCERY STORE         https://app.datacamp.com/learn/projects/2018\nFAST FOOD PREDICTION                            https://app.datacamp.com/learn/projects/2091\nCUSTOMER ANALYTICS                              https://app.datacamp.com/learn/projects/customer_analytics_preparing_data_for_modeling\nhand washing                                    https://app.datacamp.com/learn/projects/dr_semmelweis\nMedical Treatments assessment                   https://projects.datacamp.com/projects/2011\nPhyllotaxis art                                 https://projects.datacamp.com/projects/2081\nBike theft visualization                        https://projects.datacamp.com/projects/2516\n```\n\n\n\n\n\n\n\n\n\n\n## Python courses (not in order)\n\n```\nhttps://app.datacamp.com/learn/courses/hypothesis-testing-in-python\nhttps://app.datacamp.com/learn/courses/introduction-to-natural-language-processing-in-python\nhttps://app.datacamp.com/learn/courses/sampling-in-python\nhttps://app.datacamp.com/learn/courses/exploratory-data-analysis-in-python\nhttps://app.datacamp.com/learn/courses/introduction-to-data-visualization-with-seaborn\nhttps://app.datacamp.com/learn/courses/introduction-to-statistics-in-python\nhttps://app.datacamp.com/learn/courses/joining-data-with-pandas\nhttps://app.datacamp.com/learn/courses/data-manipulation-with-pandas\nhttps://app.datacamp.com/learn/courses/intermediate-python\nhttps://app.datacamp.com/learn/courses/intro-to-python-for-data-science\nhttps://app.datacamp.com/learn/courses/marketing-analytics-predicting-customer-churn-in-python\nhttps://app.datacamp.com/learn/courses/introduction-to-regression-with-statsmodels-in-python \nhttps://app.datacamp.com/learn/courses/intermediate-regression-with-statsmodels-in-python\nhttps://app.datacamp.com/learn/courses/introduction-to-data-visualization-with-plotly-in-python\nhttps://app.datacamp.com/learn/courses/preprocessing-for-machine-learning-in-python\nhttps://app.datacamp.com/learn/career-tracks/data-scientist-in-python\nhttps://app.datacamp.com/learn/courses/developing-python-packages\nhttps://app.datacamp.com/learn/courses/introduction-to-network-analysis-in-python\nhttps://app.datacamp.com/learn/courses/building-recommendation-engines-in-python\nhttps://app.datacamp.com/learn/courses/cleaning-data-in-python\n\nhttps://app.datacamp.com/learn/skill-tracks/python-data-fundamentals\nhttps://app.datacamp.com/learn/skill-tracks/statistics-fundamentals-with-python\n\nhttps://app.datacamp.com/learn/skill-tracks/applied-statistics\n  https://app.datacamp.com/learn/courses/experimental-design-in-python\n  https://app.datacamp.com/learn/courses/ab-testing-in-python\n  https://app.datacamp.com/learn/courses/foundations-of-inference-in-python\n  https://app.datacamp.com/learn/courses/bayesian-data-analysis-in-python\n```\n\nPython Projects\n```\nLEGO SET HISTORY                     https://app.datacamp.com/learn/projects/2378\nSUBSCRIBER CHURN                     https://app.datacamp.com/learn/projects/2186\nCALORIE CALCULATOR                   https://app.datacamp.com/learn/projects/2406\nGOOGLE TRENDS                        https://app.datacamp.com/learn/projects/2504\nRECRUITER REGEX                      https://app.datacamp.com/learn/projects/2341\nANALYZING RIVER THAMES               https://app.datacamp.com/learn/projects/anayzing-river-thames-water-levels\nCUSTOMER PURCHASE                    https://projects.datacamp.com/projects/2470\nWORD FREQ IN MOBY DICK               https://app.datacamp.com/learn/projects/1633\nHYPOTHESIS TESTING IN HEALTHCARE     https://app.datacamp.com/learn/projects/1792\nBOOK FEATURES                        https://app.datacamp.com/learn/projects/2075\nWALMART DATA PIPELINE                https://app.datacamp.com/learn/projects/1833\nHANDWASHING - PYTHON | R             https://app.datacamp.com/learn/projects/dr_semmelweis\nGetting a Good Night's Sleep         https://app.datacamp.com/learn/projects/2030  \n```\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythoncoderunicorn%2Fmydatacamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythoncoderunicorn%2Fmydatacamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythoncoderunicorn%2Fmydatacamp/lists"}