Data Science
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
Show moreπ 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.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄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|.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn how to analyze data effectively and manage databases with ease.
Buy ads: https://telega.io/c/sql_databasesβ
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.
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Ever wondered what the difference is between a Data Analyst and a Data Scientist? Both roles are in high demand, but they tackle data in different ways.Think of it like this: - Data Analyst: Makes sense of the past to understand the present. - Data Scientist: Uses the past to predict the future.
