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Data Analytics

Data Analytics

前往频道在 Telegram

Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

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📈 Telegram 频道 Data Analytics 的分析概览

频道 Data Analytics (@sqlspecialist) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 109 775 名订阅者,在 技术与应用 类别中位列第 1 114,并在 印度 地区排名第 2 321

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 109 775 名订阅者。

根据 29 六月, 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 523,过去 24 小时变化为 6,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 2.41%。内容发布后 24 小时内通常能获得 1.49% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 2 646 次浏览,首日通常累积 1 630 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 7
  • 主题关注点: 内容集中在 row, sql, analytic, analyst, visualization 等核心主题上。

📝 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:
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

凭借高频更新(最新数据采集于 30 六月, 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 技术与应用 类别中的关键影响点。

109 775
订阅者
+624 小时
+1717
+52330
帖子存档
5. SQL Deep Dive - Part 03.zip796.16 MB

5. SQL Deep Dive - Part 02.zip973.14 MB

5. SQL Deep Dive - Part 01.zip925.68 MB

4. Environment Setup.zip570.60 MB

3. Databases + SQL Fundamentals.zip1116.17 MB

2. History And Story Of Data.zip536.59 MB

1. Introduction.zip135.55 MB

🔰 Complete SQL + Databases Bootcamp ⏱ 24.5 Hours 📦 278 Lessons Most comprehensive resource online to learn SQL and Database
🔰 Complete SQL + Databases Bootcamp ⏱ 24.5 Hours 📦 278 Lessons Most comprehensive resource online to learn SQL and Database Management & Design + exercises to give you real-world experience working with all database types. Taught By: Mo Binni, Andrei Neagoie Download Full Course: https://t.me/sqlspecialist

Excel 2022: The most updated bible to master Microsoft Excel from scratch in less than 7 minutes a day PDF

The Data Visualization Workshop.pdf36.02 MB

The Data Analysis Workshop.pdf41.34 MB

Learn SQL in One Day and Learn It Well - SQL for Beginners with Hands-on Project PDF

Mastering Tableau 2021, 3rd Edition PDF

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Python All-In-One For Dummies.pdf42.09 MB

SQL- from Basics to Intermediate.pdf3.51 MB

SQL Server Data Tools for Visual Studio.zip423.43 MB

Here's a snippet of code written in C:
for(int i=0;i<n;i++)
{
 for(int j=0;j<n;j++)
{
//some operation
}
}


How can I write something equivalent in SQL? Solution:Alias say, you are asked to count the frequency of each color occurring in the same the table , so you can write something like this: select distinct color ,(select count(*) from colors where c.color=color) from colors c;

Python Pandas for Beginners Pandas Specialization for Data.pdf12.34 MB

ML_cheatsheets.pdf7.63 MB