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◾HANDWRITTEN NOTES ✍️◾️ 🔺DATA STRUCTURE SHORT NOTES 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 1) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 2) 🔺DATA STRUCTURE INTERVIEW SERIES 🔹(PART - 3) 🔺DBMS (DATABASE MANAGEMENT SYSTEM)NOTES 🔺C PROGRAMMING SHORT NOTES

Top Platforms for Building Data Science Portfolio Build an irresistible portfolio that hooks recruiters with these free platforms. Landing a job as a data scientist begins with building your portfolio with a comprehensive list of all your projects. To help you get started with building your portfolio, here is the list of top data science platforms. Remember the stronger your portfolio, the better chances you have of landing your dream job. 1. GitHub 2. Kaggle 3. LinkedIn 4. Medium 5. MachineHack 6. DagsHub 7. HuggingFace 7 Websites to Learn Data Science for FREE🧑‍💻 ✅ w3school ✅ datasimplifier ✅ hackerrank ✅ kaggle ✅ geeksforgeeks ✅ leetcode ✅ freecodecamp

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How to enter into Data Science 👉Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation. 👉Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it. 👉Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.

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