Learn Coding
前往频道在 Telegram
Learn Coding: The Revolution of Free Education 🌍 📚 Empowering Millions with IT Knowledge— Absolutely FREE!💻 ****NOTES***** Every SATURDAY or SUNDAY
显示更多📈 Telegram 频道 Learn Coding 的分析概览
频道 Learn Coding (@learncodingtelegram) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 19 463 名订阅者，在 教育 类别中位列第 10 384，并在 印度 地区排名第 20 635 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 19 463 名订阅者。
根据 04 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -77，过去 24 小时变化为 4，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 1.08%。内容发布后 24 小时内通常能获得 0.33% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 210 次浏览，首日通常累积 64 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 1。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Coding: The Revolution of Free Education 🌍
📚 Empowering Millions with IT Knowledge— Absolutely FREE!💻
****NOTES*****
Every SATURDAY or SUNDAY”
凭借高频更新（最新数据采集于 05 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 教育 类别中的关键影响点。
19 463
订阅者
+424 小时
-327 天
-7730 天
帖子存档
19 460
Your Roadmap to be a Full Stack Developer in 1 Year
↓ HTML/CSS → 45 Days
↓ JavaScript + DOM → 45 Days
↓ React → 20 Days
↓ Next.js → 30 Days
↓ Java/Golang/Python/Node.js → 45 Days
↓ Spring/Django/Express → 30 Days
↓ GraphQL → 30 Days
↓ PostgreSQL/MySQL/MongoDB → 30 Days
↓ [Any of] Docker/K8S/Kafka/Redis → 30 Days
↓ Cloud Computing → 20 Days
↓ Build an End-to-End Project → 40 Days
Tip: • Start with projects and enhance it step by step.
19 460
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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