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Data Science

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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πŸ“ˆ 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 71 067 subscribers, ranking 2 281 in the Education category and 4 735 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 71 067 subscribers.

According to the latest data from 06 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 11.78%. Within the first 24 hours after publication, content typically collects 2.97% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 8 369 views. Within the first day, a publication typically gains 2 110 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|.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn 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.

71 067
Subscribers
+2624 hours
+477 days
-1630 days
Posts Archive
πŸ”° Data Analysis With Python
πŸ”° Data Analysis With Python

πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 217k| πŸ”° Linkedin Learning Courses 124k| πŸ”° Premium Udemy Courses 123k| πŸ”° Web Development -β—¦-β—¦--β—¦- 101k| πŸ”° Learn Python 093k| πŸ”° JavaScript Courses 073k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 065k| πŸ”° DevOps Tutorials 057k| πŸ”° Learn React and NextJs 052k| πŸ”° Data Analysis and Databases -β—¦-β—¦--β—¦- 048k| πŸ”° Linux and DevOps 043k| πŸ”° Best Telegram Channels 042k| πŸ”° 100 Days of Python -β—¦-β—¦--β—¦- 038k| πŸ”° Business Training 037k| πŸ”° ChatGPT Mastery 034k| πŸ”° Mobile Development -β—¦-β—¦--β—¦- 033k| πŸ”° Zero to Mastery 031k| πŸ”° Udemy Learning 031k| πŸ”° Codedamn Courses -β—¦-β—¦--β—¦- 030k| πŸ”° Linkedin Learning 029k| πŸ”° React 101 028k| πŸ”° Crypto Lessons -β—¦-β—¦--β—¦- 024k| πŸ”° Coding Interview 022k| πŸ”° Telegram's Shorts -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

Learn SQL in 30 days (roadmap) πŸ”₯
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Learn SQL in 30 days (roadmap) πŸ”₯

πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 217k| πŸ”° Linkedin Learning Courses 124k| πŸ”° Premium Udemy Courses 123k| πŸ”° Web Development -β—¦-β—¦--β—¦- 101k| πŸ”° Learn Python 093k| πŸ”° JavaScript Courses 073k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 065k| πŸ”° DevOps Tutorials 057k| πŸ”° Learn React and NextJs 052k| πŸ”° Data Analysis and Databases -β—¦-β—¦--β—¦- 048k| πŸ”° Linux and DevOps 043k| πŸ”° Best Telegram Channels 042k| πŸ”° 100 Days of Python -β—¦-β—¦--β—¦- 038k| πŸ”° Business Training 037k| πŸ”° ChatGPT Mastery 034k| πŸ”° Mobile Development -β—¦-β—¦--β—¦- 033k| πŸ”° Zero to Mastery 031k| πŸ”° Udemy Learning 031k| πŸ”° Codedamn Courses -β—¦-β—¦--β—¦- 030k| πŸ”° Linkedin Learning 029k| πŸ”° React 101 028k| πŸ”° Crypto Lessons -β—¦-β—¦--β—¦- 024k| πŸ”° Coding Interview 022k| πŸ”° Telegram's Shorts -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

27 - Conclusion

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26 - Data Visualization - Part 01

⚠️ To be continued

+2
25 - Solution to the Absenteeism Exercise - Part 01

24 - The Absenteeism Exercise - Introduction

+1
23 - A Loan Data Example with NumPy - Part 01

⚠️ To be continued

24 - The Absenteeism Exercise - Introduction

+2
22 - NumPy - Preprocessing - Part 01

21 - Statistics with NumPy

20 - Generating Data with NumPy

⚠️ To be continued

20 - Generating Data with NumPy

19 - Working with Arrays

18 - NumPy DataTypes

17 - NumPy Fundamentals