{"repo":"andresvourakis/data-scientist-handbook","free":true,"listed":false,"github":"https://github.com/andresvourakis/data-scientist-handbook","clone":"git clone https://github.com/andresvourakis/data-scientist-handbook.git","description":"Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.","language":null,"stars":1439,"topics":["analytics","data-analysis","data-science","data-scientist","machine-learning","career-guide","data-scientist-interview","python","sql","data-scientist-resources"],"license":null,"category":"machine-learning","readme_excerpt":"Data Scientist Handbook 2025 Curated Data Science resources (Free & Paid) to help data scientists learn, grow, and break into the field Note: For your convenience, if you see this symbol :heavy dollar sign: next to a resource, it means it is a paid resource. More information about this project can be found here Table of Contents 1. 📚 Learning Data Science - YouTube Channels - Blogs - Newsletters - Podcasts - Books - Github Repos 2. 💼 Breaking into the Job Market - The Technical Interview - Building a Portfolio - Crafting a Resume - Job Market Insights - Courses & Mentorship 3. 🤝 Connecting with Others - Communities - Content Creators - Conferences 📚 Learning Data Science YouTube Channels Great YouTube channels with lots of free tutorials to help you learn data science, ideal for self-learners. Core Data Science - Data School: Practical data science tutorials and tips, perfect for beginners and those looking to refine their skills. Especially great for learning how to work with the pandas library. - freeCodeCamp.org: Comprehensive tutorials on programming and data science, ideal for self-learners and career switchers. - StatQuest with Josh Starmer: Simplifies complex statistical concepts and machine learning algorithms through engaging and easy-to-understand videos. - Data Professor: Educational videos on data science, machine learning, and bioinformatics, aimed at helping you become a data professional. AI & Machine Learning - Two Minute Papers: Quick and engaging summari","default_branch":null,"files":null,"tree":[],"storefront":"/r/andresvourakis","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/andresvourakis/data-scientist-handbook/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}