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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 Bag of Words Works – The Foundation of Language Models ✍️ Manish Shivanandhan 🏷️ #AI
πŸ“Œ How Bag of Words Works – The Foundation of Language Models ✍️ Manish Shivanandhan 🏷️ #AI

πŸ€– Bot Started and Ready βœ…

πŸ€– Bot Started and Ready βœ…

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image_2025-08-23_07-39-01.png1.20 MB

πŸ“Œ Learn Next.js 15 Caching & Rendering ✍️ Beau Carnes 🏷️ #Nextjs
πŸ“Œ Learn Next.js 15 Caching & Rendering ✍️ Beau Carnes 🏷️ #Nextjs

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πŸ“Œ How to Design Structured Database Systems Using SQL [Full Book] ✍️ Daniel GarcΓ­a Solla 🏷️ #SQL
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πŸ“Œ From drop-out to backpacker to self-taught developer with Dominick Monaco [Podcast #183] ✍️ Beau Carnes 🏷️ #podcast
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πŸ“Œ Deep Reinforcement Learning in Natural Language Understanding ✍️ Oyedele Tioluwani 🏷️ #Machine_Learning
πŸ“Œ Deep Reinforcement Learning in Natural Language Understanding ✍️ Oyedele Tioluwani 🏷️ #Machine_Learning

πŸ“Œ How to Build an Always Listening Network Connectivity Checker in Flutter using BLoC ✍️ Atuoha Anthony 🏷️ #Flutter
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πŸ“Œ How to Deploy a Next.js API with PostgreSQL and Sevalla ✍️ Manish Shivanandhan 🏷️ #Nextjs
πŸ“Œ How to Deploy a Next.js API with PostgreSQL and Sevalla ✍️ Manish Shivanandhan 🏷️ #Nextjs

πŸ“Œ How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe ✍️ OMOTAYO OMOYEMI 🏷️ #Computer_Vision
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πŸ“Œ Code and Train Qwen3 from Scratch ✍️ Beau Carnes 🏷️ #llm
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πŸ“Œ How to Assign Unique IDs to Express API Requests for Tracing ✍️ Orim Dominic Adah 🏷️ #Nodejs
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πŸ“Œ How to Convert Your Website into an Android App Using Bubblewrap ✍️ Sanjay R 🏷️ #Android
πŸ“Œ How to Convert Your Website into an Android App Using Bubblewrap ✍️ Sanjay R 🏷️ #Android

πŸ“Œ What are Data Transfer Objects? Learn to Use DTOs in Your Java Spring-Based Projects ✍️ Augustine Alul 🏷️ #Java
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πŸ“Œ Building an AI-Powered E-commerce Chat Assistant with MongoDB ✍️ Beau Carnes 🏷️ #youtube
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