{"id":19318519,"url":"https://github.com/federicoserini/data-ml-engineering-career-path","last_synced_at":"2025-10-29T16:22:44.519Z","repository":{"id":189106844,"uuid":"177973688","full_name":"FedericoSerini/Data-ML-Engineering-Career-Path","owner":"FedericoSerini","description":null,"archived":false,"fork":false,"pushed_at":"2019-10-06T08:59:49.000Z","size":9,"stargazers_count":13,"open_issues_count":0,"forks_count":8,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-22T17:41:06.932Z","etag":null,"topics":["aws","data-analysis","data-engineering","google-cloud-platform","machine-learning","statistics"],"latest_commit_sha":null,"homepage":null,"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/FedericoSerini.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}},"created_at":"2019-03-27T10:45:43.000Z","updated_at":"2022-12-25T09:29:08.000Z","dependencies_parsed_at":"2023-08-18T10:10:02.863Z","dependency_job_id":null,"html_url":"https://github.com/FedericoSerini/Data-ML-Engineering-Career-Path","commit_stats":null,"previous_names":["federicoserini/data-ml-engineering-career-path"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FedericoSerini/Data-ML-Engineering-Career-Path","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FedericoSerini%2FData-ML-Engineering-Career-Path","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FedericoSerini%2FData-ML-Engineering-Career-Path/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FedericoSerini%2FData-ML-Engineering-Career-Path/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FedericoSerini%2FData-ML-Engineering-Career-Path/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FedericoSerini","download_url":"https://codeload.github.com/FedericoSerini/Data-ML-Engineering-Career-Path/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FedericoSerini%2FData-ML-Engineering-Career-Path/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263810530,"owners_count":23515160,"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":["aws","data-analysis","data-engineering","google-cloud-platform","machine-learning","statistics"],"created_at":"2024-11-10T01:18:55.296Z","updated_at":"2025-10-29T16:22:44.452Z","avatar_url":"https://github.com/FedericoSerini.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Career Path\n\n***\n1. - [x] *SQL For Data Analysis*\n[link](https://eu.udacity.com/course/sql-for-data-analysis--ud198)\n***\n2. - [x] *Data Engineer* [link](https://eu.udacity.com/course/data-engineer-nanodegree--nd027) [[Project 1](https://github.com/FedericoSerini/DEND-Project-1-Song-Play-Analysis-With-RDBMS),[Project 2](https://github.com/FedericoSerini/DEND-Project-2-Song-Play-Analysis-With-NoSQL),[Project 3](https://github.com/FedericoSerini/DEND-Project-3-Data-Warehouse-AWS)]\n\n***\n3. - [x] *Intro To Statistics*\n[link](https://eu.udacity.com/course/intro-to-statistics--st101)\n***\n4. - [x] *Intro to Descriptive Statistics*\n[link](https://eu.udacity.com/course/intro-to-descriptive-statistics--ud827)\n***\n5. - [x] *Intro to Inferential Statistics*\n[link](https://eu.udacity.com/course/intro-to-inferential-statistics--ud201)\n***\n6. - [x] *Intro To Machine Learning*\n[link](https://eu.udacity.com/course/intro-to-machine-learning--ud120)\n***\n7. - [ ] *Data Engineering on Google Cloud Platform Specialization*\n[link](https://www.coursera.org/specializations/gcp-data-machine-learning?utm_source=googlecloud\u0026utm_medium=institutions\u0026utm_campaign=GoogleCloud_Training_Data_ML_DE)\n***\n8. - [ ] *Preparing for the Google Cloud Professional Data Engineer Exam*\n[link](https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam?utm_source=googlecloud\u0026utm_medium=institutions\u0026utm_campaign=GoogleCloud_Cert_Prep_PDE)\n***\n9. - [ ] *Google Cloud Certified Professional Data Engineer Exam*\n[link](https://cloud.google.com/certification/data-engineer)\n***\n10. - [ ] *Big Data for Data Engineers*\n[link](https://www.coursera.org/specializations/big-data-engineering)\n***\n11. - [ ] *Intro To Data Analysis*\n[link](https://eu.udacity.com/course/intro-to-data-analysis--ud170)\n***\n12. - [ ] *Data Analyst*\n[link](https://eu.udacity.com/course/data-analyst-nanodegree--nd002)\n***\n13. - [ ] *Linear Algebra Refresher Course*\n[link](https://eu.udacity.com/course/linear-algebra-refresher-course--ud953)\n***\n14. - [ ] *Data Structures Algorithms in Python*\n[link](https://eu.udacity.com/course/data-structures-and-algorithms-in-python--ud513)\n***\n15. - [ ] *Machine Learning Engineer*\n[link](https://eu.udacity.com/course/machine-learning-engineer-nanodegree--nd009)\n***\n16. - [ ] *Machine Learning Interview Preparation*\n[link](https://eu.udacity.com/course/machine-learning-interview-prep--ud1001)\n***\n\n# Books\n1. Kimball's Data Warehouse Toolkit Classics: The Data Warehouse Toolkit [link](https://www.amazon.com/dp/1118875184/ref=cm_sw_em_r_mt_dp_U_Y0uXCbTVBCT7S)\n2. NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software [link](https://www.amazon.com/NoSQL-SQL-Data-Modeling-Semantics/dp/1634621093/)\n3. Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals [link](https://www.amazon.com/Hands-Big-Data-Modeling-professionals/dp/1788620909/)\n4. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [link](https://www.amazon.com/dp/1449373321/ref=cm_sw_em_r_mt_dp_U_j2uXCbVQ2BEFD)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffedericoserini%2Fdata-ml-engineering-career-path","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffedericoserini%2Fdata-ml-engineering-career-path","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffedericoserini%2Fdata-ml-engineering-career-path/lists"}