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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 71 062 subscribers, ranking 2 273 in the Education category and 4 764 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 71 062 subscribers.

According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -54 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 12.21%. 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 8 672 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 07 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.

71 062
Subscribers
+624 hours
+237 days
-5430 days
Posts Archive
+1
16 - pandas DataFrames - Part 01

⚠️ To be continued

15 - pandas Series

14 - Data Cleaning and Data Preprocessing

13 - APIs (POST requests are not needed for this course)

12 - Data GatheringData Collection

11 - Must-Know Python Tools

10 - Working with Text Data

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⚠️ To be continued

+3
09 - Working with Text Files - Part 01

08 - Pandas - Basics - Part 02

08 - Pandas - Basics - Part 01

07 - NumPy Basics

06 - Mathematics for Python

⚠️ To be continued

05 - Fundamentals for Coding in Python

04 - Python Basics

03 - Setting up the Environment

02 - Introduction to Data Analytics