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

Network:Data Analytics India6 947 Education3 319...

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

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 51 935 subscribers.

According to the latest data from 28 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 354 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.51%. Within the first 24 hours after publication, content typically collects 1.25% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 381 views. Within the first day, a publication typically gains 648 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.

📝 Description and content policy

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

Thanks to the high frequency of updates (latest data received on 29 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.

51 935

Subscribers

-224 hours

+417 days

+35430 days

3 381

Post views

~ 64824 hours

~ 94448 hours

6.51%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

51 938

SQL_Server_Analysis_Services_2012_Cube_D (1).pdf19.30 MB

51 938

V's of Big Data

51 938

HANDSON_DATA_SCIENCE_AND_PYTHON_MACHINE_LEARNING_@computer_books.pdf17.56 MB

51 938

Companies Hiring Full time! (Data Analytics/ Business Analyst) People with no experience can apply!! 👇👇 https://t.me/getjobss/1376

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Python for Data Analysis https://t.me/pythondevelopersindia/551?single

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Data Mining Jiawei Han, 2023

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Google, IBM and Harvard University are sponsoring Free courses for Python https://t.me/free4unow_backup/576

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SQL Queries.pdf2.14 MB

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Learning Excel 2021.zip137.19 MB

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Statistics and Data Visualisation with Python Jesús Rogel-Salazar, 2023

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The "Approaching (Almost) Any Machine Learning Problem" book. by 4x Kaggle grandmaster Abhishek Thakur

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800+ SQL Server Interview Questions and Answers .pdf1.02 MB

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sql_cheatsheet.pdf6.98 KB

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100 Best AI Tools from April.pdf1.11 MB

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Expert Data Modeling with Power BI Soheil Bakhshi, 2023

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FREE AI TOOLS ◽1.Poised For presentation, interviews and customer call - https://www.poised.com/ ◽2.Ocoya create and schedule content quicker. Social media, content marketing and copywriting - https://www.ocoya.com/ ◽3. Beautiful AI presentation maker, create presentation in secs -https://www.beautiful.ai/ ◽4.Vidyo AI Create social ready short clips from your long videos https://vidyo.ai/ ◽5. Stockimg AI generate AI logo, Stock image, UI, Wallpaper https://stockimg.ai/ ◽6. Flair AI design tool for branded content https://flair.ai/ ◽7. Wordtune Say exactly through clear, compelling & writing https://www.wordtune.com/ ◽8. Tome helps you to generate powerful stories in seconds https://beta.tome.app/ ◽9. Iconifyai Create professional app icons with AI in seconds https://www.iconifyai.com/ ◽10. Synthesia Create videos from plain text in minutes https://www.synthesia.io/

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SQL Cheatsheet for easy reference!📊

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Notes on Matplotlib, an important Data Visualisation tool in Python!