{"id":18894695,"url":"https://github.com/hemansnation/python-for-data-professionals","last_synced_at":"2025-07-23T20:05:36.197Z","repository":{"id":65525423,"uuid":"593509335","full_name":"hemansnation/Python-For-Data-Professionals","owner":"hemansnation","description":"This course is designed to get a good grip on python programming, logic building, solving algorithm-based questions, data structures, understanding of data analytics, working with pandas, professional practices, and API building.","archived":false,"fork":false,"pushed_at":"2023-02-18T03:58:03.000Z","size":37295,"stargazers_count":43,"open_issues_count":0,"forks_count":12,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-04-22T01:58:12.763Z","etag":null,"topics":["data-analytics","data-professionals","data-science","exploratory-data-analysis","logic-programming","machine-learning","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python-For-Data-Professionals\n\nI created this Live course for Data Professionals so that they can learn Python in 12 days for starting their data journey.\n\nThis roadmap is designed to get a good grip on python programming, logic building, solving algorithm-based questions, understanding of data analytics, working with pandas, professional practices, and API building.\n\n![Python Header](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/header.png)\n\n# The only course you need to build a strong foundation of Python for your data journey.\n\n\n### Key features of this workshop:\n\n- Live 12 Days Sessions (24 Hours in Total).\n- Lifetime access to recordings and resources.\n- Community support of like-minded data professionals.\n- You can get FREE access to future Live sessions on Python for lifetime learning.\n- Editable Notion template so that you can create your own notes in an organized manner.\n\n\n## It is divided into 12 Chapters 👇\n\n\n1 | While Loops, Lists, Strings\u003cbr\u003e\n2 | For Loop, Dictionary, Tuples, Set\u003cbr\u003e\n3 | Object-Oriented Programming\u003cbr\u003e\n4 | Modules, Packages, and PIP\u003cbr\u003e\n5 | Functions \u0026 Higher-Order Functions\u003cbr\u003e\n6 | Virtual Environment, Flask, and Python Web Scrapping\u003cbr\u003e\n7 | Building API, Python with MongoDB Database\u003cbr\u003e\n8 | Statistics with NumPy\u003cbr\u003e\n9 | Data Analysis with Pandas\u003cbr\u003e\n10 | Data Visualization with Matplotlib\u003cbr\u003e\n11 | Projects\u003cbr\u003e\n12 | Resource collection, Interview Questions, What to do Next? How to approach Data Science.\u003cbr\u003e\n\n![Notion Tempate](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/notion.gif)\n\n[Get the detailed Roadmap Here](https://www.notion.so/god-level-python/Python-for-Data-Professionals-12-Days-Live-Course-8e3717c428e64c2fbb58546b036d80de)\n\n\n\n## Who can join?\n- You are working in the field of data.\n- If you are a professional and want to transition into data science, this can be your starting point.\n- Do you want to work on Python programming and logic building as a Data Analyst or Business Analyst?\n- Learn Python for technical rounds of Managers in tech companies.\n- You are a product manager and want to get into programming.\n- You are targeting the Machine Learning position for your job, you can start here.\n\n\n## What you will gain?\n- You will know how to build Logic for Programming.\n- You will be confident in Python.\n- You will know how to work with data.\n- You will gain Hands-on experience working with data sets, including cleaning, transforming, and visualizing data.\n- You will get access to course materials, including lecture notes, code snippets, and exercise problems, as well as a community of like-minded professionals who are also taking the course.\n\n# Instructor\n\n![Himanshu Ramchandani](https://github.com/hemansnation/Python-For-Data-Professionals/blob/main/images/instructorhimanshu.png)\n\n\n# Starting 4th February 2023\n# Registration Closed\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhemansnation%2Fpython-for-data-professionals","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhemansnation%2Fpython-for-data-professionals","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhemansnation%2Fpython-for-data-professionals/lists"}