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Learn Coding

Learn Coding

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Learn Coding: The Revolution of Free Education 🌍 📚 Empowering Millions with IT Knowledge— Absolutely FREE!💻 ****NOTES***** Every SATURDAY or SUNDAY

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📈 Analytical overview of Telegram channel Learn Coding

Channel Learn Coding (@learncodingtelegram) in the English language segment is an active participant. Currently, the community unites 19 581 subscribers, ranking 10 109 in the Education category and 20 989 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 581 subscribers.

According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 9 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.29%. Within the first 24 hours after publication, content typically collects 0.44% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 252 views. Within the first day, a publication typically gains 87 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Learn Coding: The Revolution of Free Education 🌍 📚 Empowering Millions with IT Knowledge— Absolutely FREE!💻 ****NOTES***** Every SATURDAY or SUNDAY

Thanks to the high frequency of updates (latest data received on 04 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

19 581
Subscribers
+524 hours
-187 days
+930 days
Posts Archive
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50 Must-Know SQL Concepts for Interviews👇 Core Concepts 1. SELECT, FROM, WHERE 2. ORDER BY, LIMIT 3. AND, OR, NOT, IN, BETWEEN 4. NULL & IS NULL 5. DISTINCT Aggregations 6. COUNT(), SUM(), AVG() 7. MIN(), MAX() 8. GROUP BY 9. HAVING Joins 10. INNER JOIN 11. LEFT JOIN 12. RIGHT JOIN 13. FULL OUTER JOIN 14. SELF JOIN 15. CROSS JOIN Subqueries & CTEs 16. Subquery in SELECT 17. Subquery in WHERE 18. WITH (Common Table Expression) 19. Correlated Subqueries Window Functions 20. ROW_NUMBER() 21. RANK(), DENSE_RANK() 22. LEAD(), LAG() 23. OVER(), PARTITION BY String & Date Functions 24. CONCAT(), LENGTH(), UPPER()/LOWER() 25. SUBSTRING(), REPLACE() 26. DATE(), NOW(), DATEDIFF() Advanced Features 27. CASE WHEN 28. IF() & IFNULL() 29. COALESCE() 30. Nested Queries 31. Temporary Tables 32. Views 33. Stored Procedures (Basic) 34. Indexes & Performance 35. Transactions (BEGIN, COMMIT, ROLLBACK) 36. Primary & Foreign Keys Analytics Use Cases 37. Cohort Analysis 38. Retention Metrics 39. Funnel Analysis 40. Rolling Averages 41. AB Testing Query Logic Best Practices 42. Aliasing (AS) 43. Use EXPLAIN to check query plan 44. Avoid SELECT \* in production 45. Proper indexing 46. Normalize vs Denormalize Real-Life Scenarios 47. Querying large datasets 48. Optimizing slow queries 49. Joining multiple large tables 50. Writing reusable queries

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