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Data Science

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Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

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India4 735 Education2 282...

📈 Analytical overview of Telegram channel Data Science

Channel Data Science (@sql_databases) in the English language segment is an active participant. Currently, the community unites 71 061 subscribers, ranking 2 282 in the Education category and 4 735 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 71 061 subscribers.

According to the latest data from 07 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -16 over the last 30 days and by 26 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 11.90%. Within the first 24 hours after publication, content typically collects 3.01% reactions from the total number of subscribers.
Post reach: On average, each post receives 8 458 views. Within the first day, a publication typically gains 2 142 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as database, learning, linkedin, udemy, 029k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases”

Thanks to the high frequency of updates (latest data received on 08 June, 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.

71 061

Subscribers

+2624 hours

+477 days

-1630 days

8 458

Post views

~ 2 14224 hours

~ 3 01248 hours

11.90%

Engagement rate

No data

Posts per day

Posts Archive

71 056

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 Premium AI for free -◦-◦--◦--◦-◦--◦--◦-◦-- 172k| 🔰 Linkedin Learning Courses 094k| 🔰 Udemy Courses 079k| 🔰 Web Development -◦-◦--◦- 065k| 🔰 Learn Python 063k| 🔰 Learn JavaScript 048k| 🔰 Ethical Hacking -◦-◦--◦- 042k| 🔰 Machine Learning 034k| 🔰 Best Channels 033k| 🔰 Learn React and NextJs -◦-◦--◦- 027k| 🔰 SQL Databases Mastery 024k| 🔰 Learn Linux 022k| 🔰 100 Days of Python -◦-◦--◦- 019k| 🔰 APP Development 019k| 🔰 Codedamn Courses 018k| 🔰 Coding Interview -◦-◦--◦- 018k| 🔰 Zero to Mastery 017k| 🔰 ChatGPT Tips 017k| 🔰 Crypto Lessons -◦-◦--◦- 016k| 🔰 Udemy Learning 016k| 🔰 Learn Business 013k| 🔰 React 101 -◦-◦--◦- 012k| 🔰 Linkedin Learning -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

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📦 Exercise Files

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📱SQL Database Mastery 📱From Excel to SQL

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📱SQL Database Mastery 📱From Excel to SQL

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🔅 From Excel to SQL 🌐 Author: James Parkin 🔰 Level: Beginner ⏰ Duration: 1h 24m 🌀

As big data gets bigger, you may need to pull insights directly from SQL. Learn how to apply your knowledge of Excel to gain new skills at capturing data from SQL.

📗 Topics: SQL, Microsoft Excel 📤 Join SQL Database Mastery for more courses

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71 056

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71 056

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📦 Exercise Files

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📱SQL Database Mastery 📱Introduction to SQLite

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🔅 Introduction to SQLite 🌐 Author: Brian Jepson 🔰 Level: Beginner ⏰ Duration: 1h 16m 🌀 Get started using the versatile SQLite database engine. 📗 Topics: SQLite 📤 Join SQL Database Mastery for more courses

71 056

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🖥 SQL SHORT NOTES WELL EXPLAINED 💡💥

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71 056

📦 Exercise Files

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📱SQL Database Mastery 📱MySQL Advanced Topics

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🔅 MySQL Advanced Topics 🌐 Author: Bill Weinman 🔰 Level: Advanced ⏰ Duration: 1h 10m 🌀

Learn to take full advantage of some of the more advanced features in MySQL, including views, transactions, triggers, and stored procedures.

📗 Topics: MySQL 📤 Join SQL Database Mastery for more courses

71 056

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⭐️ TOP 18 SQL Interviews Q A💡

Data Science - Statistics & analytics of Telegram channel @sql_databases