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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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📈 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 53 281 subscribers, ranking 3 302 in the Education category and 6 441 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 53 281 subscribers.

According to the latest data from 06 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -39 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.22%. Within the first 24 hours after publication, content typically collects 1.16% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 715 views. Within the first day, a publication typically gains 616 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • 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 07 November, 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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53 281
Subscribers
-424 hours
-137 days
-3930 days
Posts Archive
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vdoc.pub_data-visualization-a-practical-introduction.pdf12.15 MB

PYTHON_DATA_SCIENCE_ESSENTIALS_THIRD_EDITION @computer_books.pdf6.63 MB

Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/learndataanalysis 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.

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Building Machine Learning Pipelines Hannes Hapke, 2021

PREPARATION GUIDE FOR DATA ANALYST INTERVIEW 👉 Review the job description and requirements: Carefully review the job description and requirements for the data analyst position to understand the specific skills and knowledge required. 👉 Brush up on data analysis concepts and techniques: Make sure you have a solid understanding of data analysis concepts, such as data cleaning, data visualization, and statistical analysis. Review the basics of these techniques, and be familiar with the tools and software used for data analysis. 👉 Study data visualization tools: Familiarize yourself with data visualization tools like Tableau, PowerBI, and others, and be able to explain how to use them to analyze and present data. 👉 Brush up on SQL: SQL is a key tool for data analysts, so be sure to review basic SQL commands and be familiar with more advanced concepts such as joining tables and aggregating data. 👉 Practice your communication skills: Data analysts need to be able to effectively communicate their findings to others, so make sure you have strong written and verbal communication skills. 👉 Be prepared to discuss real-life examples: Be prepared to discuss specific examples of data analysis projects you have worked on, and be able to explain the methods and techniques you used to complete them. 👉 Review the company's data and analytics strategy: Research the company's data and analytics strategy, and be prepared to discuss how your skills and experience align with their goals and objectives. 👉 Free learning resources https://t.me/free4unow_backup/361 ENJOY LEARNING 👍👍

Introduction to Google Analytics Todd Kelsey, 2017

𝐒𝐐𝐋 𝐮𝐬𝐢𝐧𝐠 𝐒𝐪𝐮𝐢𝐝 𝐆𝐚𝐦𝐞 Source

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Excel_Formulas_and_Functions_2021—The_Intermediate_Level_Step_by.pdf11.33 MB

7 outstanding new AI tools you should try in 2023: 1. http://Agentgpt.reworkd.ai — Autonomous AI Agent (AutoGPT) 2. http://Chatpdf.com — ChatGPT for PDFs 3. http://Tldv.io — AI Meeting summarizer 4. http://Kaiber.ai — Generate captivating visuals 5. http://Morise.ai — YouTube growth assistant 6. http://Meetcody.ai — AI assistant trained on your biz 7. http://Tldrthis.com — Summarize online content

An Introduction to R and  Python for Data Analysis Taylor R. Brown, 2023