{"id":14958249,"url":"https://github.com/amodinho/datacamp-python-data-science-track","last_synced_at":"2025-10-24T09:49:13.968Z","repository":{"id":37734420,"uuid":"120594178","full_name":"AmoDinho/datacamp-python-data-science-track","owner":"AmoDinho","description":"All the slides, accompanying code and exercises all stored in this repo. 🎈","archived":false,"fork":false,"pushed_at":"2023-07-17T05:00:45.000Z","size":77693,"stargazers_count":836,"open_issues_count":3,"forks_count":522,"subscribers_count":19,"default_branch":"master","last_synced_at":"2025-05-16T08:04:45.843Z","etag":null,"topics":["bokeh","data-science","datacamp","datacamp-course","datacamp-exercises","datacamp-machine-learning","datacamp-projects","datacamp-python","datacamp-solutions-python","datascience","machinelearning","natural-language-processing","neural-network","neural-networks","nlp","pandas","python","scikit-learn","tokenization"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AmoDinho.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}},"created_at":"2018-02-07T09:36:04.000Z","updated_at":"2025-05-11T20:28:11.000Z","dependencies_parsed_at":"2023-10-20T17:08:10.623Z","dependency_job_id":null,"html_url":"https://github.com/AmoDinho/datacamp-python-data-science-track","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmoDinho%2Fdatacamp-python-data-science-track","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmoDinho%2Fdatacamp-python-data-science-track/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmoDinho%2Fdatacamp-python-data-science-track/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AmoDinho%2Fdatacamp-python-data-science-track/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AmoDinho","download_url":"https://codeload.github.com/AmoDinho/datacamp-python-data-science-track/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254493378,"owners_count":22080126,"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":["bokeh","data-science","datacamp","datacamp-course","datacamp-exercises","datacamp-machine-learning","datacamp-projects","datacamp-python","datacamp-solutions-python","datascience","machinelearning","natural-language-processing","neural-network","neural-networks","nlp","pandas","python","scikit-learn","tokenization"],"created_at":"2024-09-24T13:16:36.543Z","updated_at":"2025-10-24T09:49:08.917Z","avatar_url":"https://github.com/AmoDinho.png","language":"Python","readme":"# Data Camp: Data Scientist with Python 🎉🤖\n\n![GitHub](https://img.shields.io/github/license/AmoDinho/datacamp-python-data-science-track) ![GitHub stars](https://img.shields.io/github/stars/AmoDinho/datacamp-python-data-science-track?style=social)\n\n![Design Blocks](https://images.unsplash.com/photo-1518364538800-6bae3c2ea0f2?ixlib=rb-0.3.5\u0026ixid=eyJhcHBfaWQiOjEyMDd9\u0026s=193d96d744872badcbbf5bdfc7b347f2\u0026auto=format\u0026fit=crop\u0026w=1951\u0026q=80)\n\n# All the slides, accompanying code and exercises are all stored in this repo!\n\n[Sign Up to DataCamp Here!](https://www.datacamp.com)\n\n## 🎮 List of Courses\n\n  - [Intro to Python for Data Science](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Intro%20to%20Python%20for%20Data%20Science)\n  - [Intermediate Python for Data Science](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Intermediate%20Python%20for%20Data%20Science)\n  - [Python Data Science Toolbox (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Python%20Data%20Science%20Toolbox%20pt1)\n  - [Python Data Science Toolbox (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Python%20Data%20Science%20Toolbox%20pt2)\n  - [Importing Data in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Importing%20Data%20in%20Python%20pt1)\n  - [Importing Data in Python (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Importing%20Data%20in%20Python%20pt2)\n  - [Cleaning Data in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Cleaning%20Data%20in%20Python)\n  - [Pandas Foundations](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Pandas%20Foundations)\n  - [Manipulating DataFrames with pandas](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Manipulating%20DataFrames%20with%20pandas)\n  - [Merging DataFrames with pandas](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Merging%20DataFrames%20with%20pandas)\n  - [Introduction to Databases in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Introduction%20to%20Databases%20in%20Python)\n  - [Introduction to Data Visualization with Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Introduction%20to%20Data%20Visualizaion%20with%20Python)\n  - [Interactive Data Visualization with Bokeh](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Interactive%20Data%20Visualization%20with%20Bokeh)\n  - [Statistical Thinking in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Statistical%20Thinking%20in%20Python%20(Part%201))\n  - [Statistical Thinking in Python (Part 2)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Statistical%20Thinking%20in%20Python%20(Part%202))\n  - [Supervised Learning with scikit-learn](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Supervised%20Learning%20with%20scikit-learn)\n  - [Machine Learning with the Experts: School Budgets](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Machine%20Learning%20with%20Experts-School%20Budgets)\n  - [Unsupervised Learning in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Unsupervised%20Learning%20in%20Python)\n  - [Deep Learning in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Deep%20Learning%20in%20Python)\n  - [Network Analysis in Python (Part 1)](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Network%20Analysis%20in%20Python%20(Part%201))\n  \n  ### 💣 Bonus\n  \n  - [Natural Language Processing Fundamentals in Python](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Natural%20Language%20Processing%20Fundamentals%20in%20Python)\n  - [Correlation \u0026 Regression](https://github.com/AmoDinho/datacamp-python-data-science-track/tree/master/Correlation%20and%20Regression)\n  \n  ##  🍣 Contributions\n  \n  Anyone is welcome to contribute please check out the issues!\n  \n  ## 📄 License\n\n[MIT License](https://github.com/AmoDinho/datacamp-python-data-science-track/blob/master/LICENSE)\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famodinho%2Fdatacamp-python-data-science-track","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famodinho%2Fdatacamp-python-data-science-track","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famodinho%2Fdatacamp-python-data-science-track/lists"}