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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 71 061 subscribers, ranking 2 282 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 71 061 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|.

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.

71 061
Subscribers
+2624 hours
+477 days
-1630 days
Posts Archive
πŸ–₯ 7. Using SQL Operators
πŸ–₯ 7. Using SQL Operators

πŸ–₯ 6. Using SQL Constraints
πŸ–₯ 6. Using SQL Constraints

πŸ–₯ 5. Querying From Multiple Tables
πŸ–₯ 5. Querying From Multiple Tables

πŸ–₯ 4. Modifying Data
πŸ–₯ 4. Modifying Data

πŸ–₯ 3. Managing Views
πŸ–₯ 3. Managing Views

πŸ–₯ 2. Managing Triggers
πŸ–₯ 2. Managing Triggers

πŸ–₯ 1. Managing Tables
πŸ–₯ 1. Managing Tables

πŸ–₯ SQL Cheat Sheet
πŸ–₯ SQL Cheat Sheet

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πŸ“±SQL Database Mastery πŸ“±Complete Your First Project in SQL

πŸ”… Complete Your First Project in SQL 🌐 Author: Megan Silvey πŸ”° Level: Intermediate ⏰ Duration: 1h 17m πŸŒ€ Elevate your SQL s
πŸ”… Complete Your First Project in SQL 🌐 Author: Megan Silvey πŸ”° Level: Intermediate ⏰ Duration: 1h 17m πŸŒ€ Elevate your SQL skills and gain a new perspective of how to maximize SQL. πŸ“— Topics: SQL πŸ“€ Join SQL Database Mastery for more courses

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πŸ“¦ Exercise Files

πŸ“±SQL Database Mastery πŸ“±SQL Essential Training

πŸ”… SQL Essential Training 🌐 Author: Walter Shields πŸ”° Level: Beginner ⏰ Duration: 4h 34m πŸŒ€ Prepare for the data-driven futu
πŸ”… SQL Essential Training 🌐 Author: Walter Shields πŸ”° Level: Beginner ⏰ Duration: 4h 34m πŸŒ€ Prepare for the data-driven future by learning how to manage relational databases with SQL. πŸ“— Topics: SQL πŸ“€ Join SQL Database Mastery for more courses