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 India7 187 Education3 352...

📈 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 51 872 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.

📝 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 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

3 314

Post views

~ 65424 hours

~ 90248 hours

6.39%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

51 872

Complete Python Guide 💯.pdf8.20 KB

51 872

50 Algorithms Every Programmer Should Know Imran Ahmad, 2023

51 872

Microsoft hiring data analysts 👇👇 https://t.me/jobs_SQL/159

51 872

https://www.linkedin.com/posts/sql-analysts_need-to-learn-sql-but-dont-want-to-spend-activity-7130075632184508417-PKrc?utm_source=share&utm_medium=member_android

51 872

Ultimate Resume & Interview Guide https://www.linkedin.com/posts/sql-analysts_resume-tips-activity-7130056771062153217-ZSsJ?utm_source=share&utm_medium=member_android Like if it really helps you. It takes a lot of efforts in posting content for you guys ❤️😄

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Microsoft Azure AI Fundamentals Certification Companion Krunal S. Trivedi, 2023

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Free resume guide from Harvard 👇👇 https://www.linkedin.com/posts/sql-analysts_harvard-resume-and-cv-career-guide-activity-7129694373688070144-RS2m Like and comment on this post so that it reaches more jobseekers 😄👍 Save it for your future reference

51 872

Advanced Data Science and Analytics with Python Автор: Jesus Rogel-Salazar

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Our new channel - Datasets repositories for Data Science Projects 👇👇 https://t.me/DataPortfolio

51 872

Sharing SMS is a modern rent platform that allows you to provide your SIM cards for rent and make passive income daily. Sharing SMS works for a multi-purpose audience ranging from teenage gamers to seasoned professionals who want to become a provider and earn money using a few things: a stable internet connection, a cellphone and a charger. Other than that, you are required to have a SIM card with access to receive SMS. That's it. Easy peasy lemon squeezy. Sharing SMS is a new platform for earning. Become our partner, rent out your numbers and earn money. https://betasms.net/earn-money

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SQL vs Python SQL is great for managing and querying structured databases, especially when dealing with large datasets. It excels in tasks like filtering, sorting, and aggregating data. Python, on the other hand, is a versatile programming language used for a broader range of tasks. In the context of data, Python is powerful for data manipulation, analysis, and machine learning. It offers libraries like Pandas for data manipulation, NumPy for numerical operations, and Scikit-Learn for machine learning. In summary, SQL is essential for efficient database querying, while Python provides a more comprehensive solution for various data-related tasks, making them often used together in data-related workflows. SQL Practice Questions with Answers -> https://t.me/learndataanalysis/596 Python Roadmap for Data Analysts -> https://t.me/pythonfreebootcamp/207

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Data Analysis vs Data Science Data analysis often focuses on interpreting and summarizing existing data, requiring skills like statistical analysis, SQL, and data visualization. On the other hand, data science involves a broader set of skills, including machine learning, predictive modeling, and advanced programming. In essence, data analysis is a subset of data science, with data scientists often having a more extensive toolkit for handling complex and unstructured data. Free Resources to become data analyst -> https://www.linkedin.com/posts/sql-analysts_freecertificates-dataanalysts-python-activity-7113004712412524545-Uw4k Steps to become data scientist -> https://t.me/learndataanalysis/559

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Thank you so much guys for reposting content from our channel to other data aspirants❤️

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Unlimited access to data science courses for till Nov 20 👇👇 https://www.linkedin.com/posts/sql-analysts_datascience-dataanalytics-activity-7128217526924177408-0DtE Like for more 👍❤️

51 872

Complete Power BI Book 👇👇 https://www.linkedin.com/posts/sql-analysts_power-bi-book-sqlspecialist-activity-7128010834630369280-AQAR Like & Share the post with more data aspirants 👍

51 872

100 MS Excel Useful Shortcuts 👇👇 https://t.me/excel_analyst/53

51 872

SQL Practice Questions with Answers Those who are at beginner and intermediate level in sql should try to solve all these question

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Free Data sets for Data Science Projects & Portfolio 👇👇 https://t.me/DataPortfolio

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Credit Card Data Analysis Project 👇👇 https://t.me/sqlproject/59