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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 70 816 subscribers, ranking 2 269 in the Education category and 4 505 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 70 816 subscribers.

According to the latest data from 05 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 134 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.24%. Within the first 24 hours after publication, content typically collects 2.38% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 129 views. Within the first day, a publication typically gains 1 683 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 06 October, 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.

70 816
Subscribers
-624 hours
+1047 days
+13430 days
Posts Archive
πŸ’Ž Database Replication Explained (in 5 Minutes)

πŸ”° Correlation Matrix in Python How to create a simple correlation matrix in Python and how to customize the visual
+3
πŸ”° Correlation Matrix in Python How to create a simple correlation matrix in Python and how to customize the visual

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πŸ“– Learning SQL is like placing a precious coffee πŸ’―
πŸ“– Learning SQL is like placing a precious coffee πŸ’―

πŸ“¦ Exercise Files

πŸ“±Data Science πŸ“±Tableau Server for Analysts

πŸ”… Tableau Server for Analysts πŸ“ Learn how to create, manage, publish, and share reports and dashboards using Tableau Server
πŸ”… Tableau Server for Analysts πŸ“ Learn how to create, manage, publish, and share reports and dashboards using Tableau Server and Tableau Online. 🌐 Author: Maven Analytics πŸ”° Level: Beginner ⏰ Duration: 1h 24m πŸ“‹ Topics: Data Analysis, Tableau πŸ”— Join Data Science for more courses

πŸ’Έ SQL vs. NoSQL
πŸ’Έ SQL vs. NoSQL

πŸ–₯ SQL Statements ? PART 2
+4
πŸ–₯ SQL Statements ? PART 2

πŸ–₯ What is Database ? PART 1
+7
πŸ–₯ What is Database ? PART 1

πŸ–₯ MYSQL CHEATSHEET
+6
πŸ–₯ MYSQL CHEATSHEET

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πŸ“¦ Exercise Files

πŸ“±Data Science πŸ“±More Python Tips, Tricks, and Techniques for Data Science

πŸ”… More Python Tips, Tricks, and Techniques for Data Science πŸ“ Deliver valuable insights to your users with Python. Get prac
πŸ”… More Python Tips, Tricks, and Techniques for Data Science πŸ“ Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow. 🌐 Author: Harshit Tyagi πŸ”° Level: Intermediate ⏰ Duration: 2h 15m πŸ“‹ Topics: Data Science, Python πŸ”— Join Data Science for more courses

πŸ–₯ SQL CIRCLE
πŸ–₯ SQL CIRCLE

πŸ–₯ SQL SHORT NOTES WELL EXPLAINED
+7
πŸ–₯ SQL SHORT NOTES WELL EXPLAINED

πŸ“±Data Science πŸ“±Complete Guide to Differential Equations Foundations for Data Science

πŸ“±Data Science πŸ“±Complete Guide to Differential Equations Foundations for Data Science

πŸ“±Data Science πŸ“±Complete Guide to Differential Equations Foundations for Data Science