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Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

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Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun

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πŸ“ˆ Analytical overview of Telegram channel Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

Channel Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources (@learndataanalysis) in the English language segment is an active participant. Currently, the community unites 51 872 subscribers, ranking 3 352 in the Education category and 7 187 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 51 872 subscribers.

According to the latest data from 17 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 506 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.39%. Within the first 24 hours after publication, content typically collects 1.26% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 314 views. Within the first day, a publication typically gains 654 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as analyst, |--, excel, visualization, analytic.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œData Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun”

Thanks to the high frequency of updates (latest data received on 18 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.

51 872
Subscribers
-524 hours
+1227 days
+50630 days
Posts Archive
Machine Learning for Cloud Management.pdf8.49 MB

ARTIFICIAL_INTELLIGENCE_AND_MACHINE_LEARNING_FUNDAMENTALS_@computer.pdf2.62 MB

Building Real-Time Analytics Systems Mark Needham, 2023

πŸš€ 𝐏𝐲𝐭𝐑𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐨 𝐌𝐚𝐬𝐭𝐞𝐫 πƒπšπ­πš π€π§πšπ₯𝐲𝐬𝐒𝐬 𝐚𝐧𝐝 πƒπšπ­πš π’πœπ’πžπ§πœπž 𝐟𝐨𝐫 𝐁𝐞𝐠𝐒𝐧𝐧𝐞𝐫𝐬 https://www.linkedin.com/posts/sql-analysts_dataanalyst-datascience-python-activity-7117369342056382465-YzuQ?utm_source=share&utm_medium=member_android

Data Analysis Using SQL and Excel Gordon S. Linoff, 2016

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