{"id":20756254,"url":"https://github.com/anquetos/openclassrooms","last_synced_at":"2025-07-16T08:13:13.369Z","repository":{"id":168972551,"uuid":"620229084","full_name":"anquetos/openclassrooms","owner":"anquetos","description":"Projets du parcours Data Analyst OpenClassrooms","archived":false,"fork":false,"pushed_at":"2024-06-14T08:39:50.000Z","size":55448,"stargazers_count":10,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-09T11:11:29.573Z","etag":null,"topics":["data-science","etl","jupyter-notebook","knime","knime-analytics-platform","machine-learning","matplotlib","numpy","pandas","powerbi","python","scikit-learn","scipy","seaborn","statsmodels"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/anquetos.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":"2023-03-28T09:23:00.000Z","updated_at":"2025-02-22T15:12:38.000Z","dependencies_parsed_at":"2023-10-02T12:56:34.472Z","dependency_job_id":"24606834-0dc3-4aa9-9377-00a49274463d","html_url":"https://github.com/anquetos/openclassrooms","commit_stats":null,"previous_names":["anquetos/openclassrooms"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/anquetos/openclassrooms","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anquetos%2Fopenclassrooms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anquetos%2Fopenclassrooms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anquetos%2Fopenclassrooms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anquetos%2Fopenclassrooms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anquetos","download_url":"https://codeload.github.com/anquetos/openclassrooms/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anquetos%2Fopenclassrooms/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265495723,"owners_count":23776675,"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-science","etl","jupyter-notebook","knime","knime-analytics-platform","machine-learning","matplotlib","numpy","pandas","powerbi","python","scikit-learn","scipy","seaborn","statsmodels"],"created_at":"2024-11-17T09:30:09.044Z","updated_at":"2025-07-16T08:13:13.309Z","avatar_url":"https://github.com/anquetos.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cimg src='./oc-logo.jpeg' width=64x /\u003e\n\n# OpenClassrooms\nCe dépôt contient une partie des projets réalisés dans le cadre du parcours de formation *[Data Analyst](https://openclassrooms.com/fr/paths/324-data-analyst)* dispensé par OpenClassrooms.\n\n## \u0026#128209; Projets réalisés\n\nLe scénario, les objectifs, les outils utilisés et les compétences acquises sont détaillés pour chacun des projets dans le répertoire qui lui est dédié.\n\n* [Projet 10 : Détectez des faux billets avec Python](./projets/projet-10/)\u003cbr\u003e\nAnalyse exploratoire, analyse descriptive, algorithme de prédiction.\n* [Projet 9 : Produisez une étude de marché avec Python](./projets/projet-9/)\u003cbr\u003e\nAnalyse exploratoire, analyse descriptive, *clustering*.\n* [Projet 8 : Rapport de mixité sociale dans les lycées avec Power BI](./projets/projet-8/)\u003cbr\u003e\nPréparation de données, réalisation de *dashboards*.\n* [Projet 7 : Analysez des indicateurs de l'égalité femme-homme avec Knime](./projets/projet-7/)\u003cbr\u003e\nCréation d'un rapport automatique dans un ETL (importation, nettoyage, visualisation et exportation).\n* [Projet 6 : Analyser les ventes d'une librairie avec Python](./projets/projet-6/)\u003cbr\u003e\nPréparation de données, analyse exploratoire, analyse descriptive et tests statistiques.\n* [Projet 5 : Optimiser la gestion des données d'une boutique](./projets/projet-5/)\u003cbr\u003e\nPréparation de données, analyse exploratoire, analyse univariée.\n* [Projet 4 : Réaliser une étude de santé publique](./projets/projet-4/)\u003cbr\u003e\nManipulation de *DataFrame*, préparation de données, analyse exploratoire, analyse de données.\n* [Projet 3 : Créez et utilisez une base de données immobilière avec SQL](./projets/projet-3/)\u003cbr\u003e\nConception et création de tables, requêtes SQL.\n\n## \u0026#128295; Outils utilisés\n|                   |Projet 10 |Projet 9 |Projet 8 |Projet 7 |Projet 6 |Projet 5 |Projet 4 |Projet 3 |\n|:-----------------:|:--------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|\n|Jupyter\u003cbr\u003eNotebook|\u0026#10003;  |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |         |\n|Python             |\u0026#10003;  |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |         |\n|NumPy              |\u0026#10003;  |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |         |\n|Pandas             |\u0026#10003;  |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |\u0026#10003; |         |\n|Matplotlib         |\u0026#10003;  |\u0026#10003; |         |         |\u0026#10003; |\u0026#10003; |\u0026#10003; |         |\n|Seaborn            |\u0026#10003;  |\u0026#10003; |         |         |         |         |         |         |\n|ScyPy              |\u0026#10003;  |\u0026#10003; |         |         |\u0026#10003; |         |         |         |\n|scikit-learn       |\u0026#10003;  |\u0026#10003; |         |         |         |         |         |         |\n|statsmodels        |\u0026#10003;  |         |         |         |         |         |         |         |\n|Dash Plotly        |\u0026#10003;  |         |         |         |         |         |         |         |\n|Joblib             |\u0026#10003;  |         |         |         |         |         |         |         |\n|Pathlib            |\u0026#10003;  |         |         |         |         |         |         |         |\n|Knime              |          |         |         |\u0026#10003; |         |         |         |         |\n|Power BI           |          |         |\u0026#10003; |         |         |         |         |         |\n|SQLite             |          |         |         |         |         |         |         |\u0026#10003; |\n|Power Query        |          |         |         |         |         |         |         |\u0026#10003; 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