Venkata Naga Sai Kumar Bysani

You don't have to pay to get into the Data Analytics field!
Whether you're a developer, data analyst, or just someone curious about data, SQL can open doors to exciting opportunities. I personally found these resources extremely helpful during my journey, not only in preparing for interviews but also in excelling at my job! Here are some valuable resources, including YouTube channels, which helped me start with SQL and apply my learnings effectively!

To Learn SQL:
W3Schools SQL Tutorial: W3Schools offers a comprehensive and interactive online SQL tutorial. It covers the basics of SQL, database management, and advanced queries. (https://lnkd.in/e6scAPms).

Codecademy SQL Course: Codecademy provides a step-by-step SQL course with interactive exercises. It's perfect for beginners who want a more hands-on learning approach. (https://lnkd.in/e2VgwmeS).

YouTube Channels to Learn SQL:
Alex The Analyst: Alex's YouTube channel is a goldmine for data analysis and SQL tutorials. He breaks down complex concepts into easy-to-understand videos, making it an excellent resource for beginners. (https://lnkd.in/eeEMPeG6).

Krish Naik: Krish Naik's YouTube channel covers a wide range of topics, including SQL, data science, and machine learning. His in-depth explanations and practical examples will help you build a strong foundation in SQL. (https://lnkd.in/e53U-A_C).

To Apply SQL Learnings:
Kaggle: Kaggle is a platform that hosts various data science and machine learning challenges. You can find SQL-related projects and datasets to apply your SQL skills in a practical context (https://lnkd.in/eZUwbC3S).

HackerRank SQL Challenges: HackerRank offers a range of SQL challenges, from basic to advanced, which will help you practice and improve your SQL skills. (https://lnkd.in/eUJW8b3c).

Remember that consistent practice is essential to master any skill. Also, try to apply what you learn in real-world scenarios and projects.

Start your SQL journey today and take a step towards becoming a data-savvy professional! Happy learning!
 #SQL #DatabaseManagement #DataAnalysis #DataScience #mysql #interviewpreparation #dataanalytics #nosql #rdbms

5 Best Github repos to help you pass data analyst and data scientist interviews!


1] 100-𝐃𝐚𝐲𝐬-𝐎𝐟-𝐌𝐋-𝐂𝐨𝐝𝐞 (42𝐤⭐)
↳ Daily coding challenges for machine learning mastery
↳ Structured path from ML basics to implementation
↳ https://lnkd.in/dcftdA57

2] 𝐚𝐰𝐞𝐬𝐨𝐦𝐞-𝐝𝐚𝐭𝐚𝐬𝐜𝐢𝐞𝐧𝐜𝐞 (22.7𝐤⭐)
↳ Comprehensive data science resource catalog
↳ Tools, libraries, and learning materials by category
↳ https://lnkd.in/dcFYYwx9

3] 𝐃𝐚𝐭𝐚-𝐒𝐜𝐢𝐞𝐧𝐜𝐞-𝐅𝐨𝐫-𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 (14.5𝐤⭐)
↳ Microsoft's 10-week beginner curriculum
↳ Project-based approach with practical exercises
↳ https://lnkd.in/d_zZBadF

4] 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬(8.1𝐤⭐)
↳ Real tech giant interview questions with solutions
↳ Targeted preparation for ML positions
↳ https://lnkd.in/gq_huuZD

5] 𝐝𝐚𝐭𝐚-𝐬𝐜𝐢𝐞𝐧𝐜𝐞-𝐢𝐩𝐲𝐭𝐡𝐨𝐧-𝐧𝐨𝐭𝐞𝐛𝐨𝐨𝐤𝐬 (27.2𝐤⭐)
↳ Ready-to-run Jupyter notebooks for all DS topics
↳ Practical implementations of algorithms and techniques
↳ https://lnkd.in/dPmQuPB9

These repositories are maintained by various individuals and organizations, each offering valuable resources for learning and practicing data analytics and data science.

Let me know if I missed anything!

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