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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 70 790 subscribers, ranking 2 261 in the Education category and 4 562 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 70 790 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -310 over the last 30 days and by -15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 11.21%. Within the first 24 hours after publication, content typically collects 2.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 7 934 views. Within the first day, a publication typically gains 1 943 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 27 August, 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.

70 790
Subscribers
-1524 hours
-1277 days
-31030 days
Posts Archive
⚠️ To be continued ⚠️

10. Revisiting Data Types

09. The Magic of Aggregate Functions

08. Refining Our Selections

07. The World Of String Functions

06. CRUD Challenge Section

⚠️ To be continued ⚠️

05. CRUD commmands

04. Inserting Data (and a couple other things)

03. Creating Databases and Tables

02. Getting Started Overview and Installation

01. Introduction and 5 Minutes of SQL

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πŸ“– SQL Chart
πŸ“– SQL Chart

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πŸ”° Python Packages For Data Science in 2024-25
πŸ”° Python Packages For Data Science in 2024-25

πŸ“±Data Analysis πŸ“±Learning Data Science

πŸ“±Data Analysis πŸ“±Learning Data Science

πŸ“±Data Analysis πŸ“±Learning Data Science