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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 28 942 subscribers, ranking 4 736 in the Technologies & Applications category and 22 805 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 28 942 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 493 over the last 30 days and by 20 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 3.86%. Within the first 24 hours after publication, content typically collects 0.99% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 118 views. Within the first day, a publication typically gains 287 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 12 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.

28 942
Subscribers
+2024 hours
+757 days
+49330 days
Posts Archive
πŸ“Œ How AI is Transforming Enterprise Operations ✍️ Manish Shivanandhan 🏷️ #AI
πŸ“Œ How AI is Transforming Enterprise Operations ✍️ Manish Shivanandhan 🏷️ #AI

πŸ“Œ Create a Cute Room Portfolio with Three.js, Blender, JavaScript ✍️ Beau Carnes 🏷️ #Blender
πŸ“Œ Create a Cute Room Portfolio with Three.js, Blender, JavaScript ✍️ Beau Carnes 🏷️ #Blender

πŸ“Œ How to Compress Your Prompts and Reduce LLM Costs ✍️ Manish Shivanandhan 🏷️ #llm
πŸ“Œ How to Compress Your Prompts and Reduce LLM Costs ✍️ Manish Shivanandhan 🏷️ #llm

πŸ“Œ How to Use to Docker with Node.js: A Handbook for Developers ✍️ oghenekparobo Stephen 🏷️ #Docker
πŸ“Œ How to Use to Docker with Node.js: A Handbook for Developers ✍️ oghenekparobo Stephen 🏷️ #Docker

πŸ€– Bot Started and Ready βœ…

πŸ€– Bot Started and Ready βœ…

πŸ“Œ Level Up Your JavaScript – Detect Smells & Write Clean Code ✍️ Beau Carnes 🏷️ #JavaScript
πŸ“Œ Level Up Your JavaScript – Detect Smells & Write Clean Code ✍️ Beau Carnes 🏷️ #JavaScript

πŸ“Œ How to Build a Portfolio Website Using Figma and AI Tools – A Guide for Developers ✍️ Prankur Pandey 🏷️ #Web_Development
πŸ“Œ How to Build a Portfolio Website Using Figma and AI Tools – A Guide for Developers ✍️ Prankur Pandey 🏷️ #Web_Development

πŸ“Œ How to Add Real-Time Web Search to Your LLM Using Tavily ✍️ Manish Shivanandhan 🏷️ #llm
πŸ“Œ How to Add Real-Time Web Search to Your LLM Using Tavily ✍️ Manish Shivanandhan 🏷️ #llm

πŸ“Œ Intro to Backend Web Development – Node.js, Express, MongoDB ✍️ Beau Carnes 🏷️ #Backend_Development
πŸ“Œ Intro to Backend Web Development – Node.js, Express, MongoDB ✍️ Beau Carnes 🏷️ #Backend_Development

πŸ“Œ How to Create Fluid Animations with React Native Reanimated v4 ✍️ Balogun Wahab 🏷️ #React_Native
πŸ“Œ How to Create Fluid Animations with React Native Reanimated v4 ✍️ Balogun Wahab 🏷️ #React_Native

πŸ€– Bot Started and Ready βœ…

πŸ“Œ Harvard CS50 prof David J. Malan on why you should learn programming slowly [Podcast #197] ✍️ Beau Carnes 🏷️ #podcast
πŸ“Œ Harvard CS50 prof David J. Malan on why you should learn programming slowly [Podcast #197] ✍️ Beau Carnes 🏷️ #podcast

πŸ“Œ How to Get Started with PocketBase: Build a Lightweight Backend in Minutes ✍️ Manish Shivanandhan 🏷️ #backend
πŸ“Œ How to Get Started with PocketBase: Build a Lightweight Backend in Minutes ✍️ Manish Shivanandhan 🏷️ #backend

πŸ“Œ How to Scale Bluetooth Across Android, iOS, and Embedded Devices ✍️ Nikheel Vishwas Savant 🏷️ #bluetooth
πŸ“Œ How to Scale Bluetooth Across Android, iOS, and Embedded Devices ✍️ Nikheel Vishwas Savant 🏷️ #bluetooth

πŸ“Œ How to Implement Dependency Injection in FastAPI ✍️ Nneoma Uche 🏷️ #dependency_injection
πŸ“Œ How to Implement Dependency Injection in FastAPI ✍️ Nneoma Uche 🏷️ #dependency_injection

πŸ€– Bot Started and Ready βœ…

πŸ“Œ How to Keep LLM Outputs Predictable Using Pydantic Validation ✍️ Manish Shivanandhan 🏷️ #llm
πŸ“Œ How to Keep LLM Outputs Predictable Using Pydantic Validation ✍️ Manish Shivanandhan 🏷️ #llm

πŸ“Œ The Secret Life of Your CPU: Exploring the Low Power Island in Android Bluetooth ✍️ Nikheel Vishwas Savant 🏷️ #Android
πŸ“Œ The Secret Life of Your CPU: Exploring the Low Power Island in Android Bluetooth ✍️ Nikheel Vishwas Savant 🏷️ #Android