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Data Analytics

Data Analytics

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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

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πŸ“ˆ Analytical overview of Telegram channel Data Analytics

Channel Data Analytics (@dataanalyticsx) in the English language segment is an active participant. Currently, the community unites 28 965 subscribers, ranking 4 732 in the Technologies & Applications category and 22 760 in the Russia 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 28 965 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 510 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 3.93%. Within the first 24 hours after publication, content typically collects 1.27% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 138 views. Within the first day, a publication typically gains 368 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as sellerflash, buybox, buyer, chaos, effortless.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œDive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 14 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 Technologies & Applications category.

28 965
Subscribers
+1524 hours
+917 days
+51030 days
Posts Archive
πŸ“Œ How to focus on building your skills when everything's so distracting with Ania KubΓ³w [Podcast #187] ✍️ Beau Carnes 🏷️ #p
πŸ“Œ How to focus on building your skills when everything's so distracting with Ania KubΓ³w [Podcast #187] ✍️ Beau Carnes 🏷️ #podcast

πŸ“Œ Introducing freeCodeCamp Daily Python and JavaScript Challenges – Solve a New Programming Puzzle Every Day ✍️ Tom Mondloch
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πŸ“Œ How to Build an AI Study Planner Agent using Gemini in Python ✍️ Tarun Singh 🏷️ #Python
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πŸ“Œ How to Build an Upload Service in Flutter Web with Firebase ✍️ Atuoha Anthony 🏷️ #Flutter
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πŸ“Œ Arrays, Slices, and Maps in Go: a Quick Guide to Collection Types ✍️ Gabor Koos 🏷️ #Go_Language
πŸ“Œ Arrays, Slices, and Maps in Go: a Quick Guide to Collection Types ✍️ Gabor Koos 🏷️ #Go_Language

πŸ“Œ How to Fine-Tune Large Language Models ✍️ Beau Carnes 🏷️ #llm
πŸ“Œ How to Fine-Tune Large Language Models ✍️ Beau Carnes 🏷️ #llm

πŸ€– Bot Started and Ready βœ…

No one believed I could double my portfolio in just 30 days… but then I discovered the Prop Mastery tricks top traders keep s
No one believed I could double my portfolio in just 30 days… but then I discovered the Prop Mastery tricks top traders keep secret. Want to know how? The real strategies are hidden right here β€” and only a few catch on before it’s too late! #Ψ₯ΨΉΩ„Ψ§Ω† InsideAds

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πŸ“Œ How to Enhance Images with Neural Networks ✍️ Manish Shivanandhan 🏷️ #neural_networks
πŸ“Œ How to Enhance Images with Neural Networks ✍️ Manish Shivanandhan 🏷️ #neural_networks

πŸ“Œ Graph Algorithms in Python: BFS, DFS, and Beyond ✍️ Oyedele Tioluwani 🏷️ #Python
πŸ“Œ Graph Algorithms in Python: BFS, DFS, and Beyond ✍️ Oyedele Tioluwani 🏷️ #Python

πŸ“Œ How the Node.js Event Loop Works ✍️ Amanda Ene Adoyi 🏷️ #Nodejs
πŸ“Œ How the Node.js Event Loop Works ✍️ Amanda Ene Adoyi 🏷️ #Nodejs

πŸ“Œ How to Perform Sentence Similarity Check Using Sentence Transformers ✍️ Manish Shivanandhan 🏷️ #Machine_Learning
πŸ“Œ How to Perform Sentence Similarity Check Using Sentence Transformers ✍️ Manish Shivanandhan 🏷️ #Machine_Learning

πŸ€– Bot Started and Ready βœ…

πŸ“Œ Learn Mandarin Chinese for Beginners – Full HSK 1 Level ✍️ Beau Carnes 🏷️ #Language_Learning
πŸ“Œ Learn Mandarin Chinese for Beginners – Full HSK 1 Level ✍️ Beau Carnes 🏷️ #Language_Learning

πŸ“Œ Build an AI Coding Agent in Python ✍️ Beau Carnes 🏷️ #agentic_AI
πŸ“Œ Build an AI Coding Agent in Python ✍️ Beau Carnes 🏷️ #agentic_AI

πŸ“Œ How to Make Bluetooth on Android More Reliable ✍️ Nikheel Vishwas Savant 🏷️ #Android
πŸ“Œ How to Make Bluetooth on Android More Reliable ✍️ Nikheel Vishwas Savant 🏷️ #Android

πŸ“Œ How to Become an Expert in AI-Assisted Coding – A Handbook for Developers ✍️ Mrugesh Mohapatra 🏷️ #AI
πŸ“Œ How to Become an Expert in AI-Assisted Coding – A Handbook for Developers ✍️ Mrugesh Mohapatra 🏷️ #AI

πŸ“Œ How to Save and Share Flutter Widgets as Images – A Complete Production-Ready Guide ✍️ Atuoha Anthony 🏷️ #Flutter
πŸ“Œ How to Save and Share Flutter Widgets as Images – A Complete Production-Ready Guide ✍️ Atuoha Anthony 🏷️ #Flutter

πŸ“Œ Common Open Source Contribution Myths – Debunked ✍️ Orim Dominic Adah 🏷️ #Open_Source
πŸ“Œ Common Open Source Contribution Myths – Debunked ✍️ Orim Dominic Adah 🏷️ #Open_Source

Data Analytics - Statistics & analytics of Telegram channel @dataanalyticsx