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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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📈 Análisis del canal de Telegram Data Analytics

El canal Data Analytics (@dataanalyticsx) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 30 854 suscriptores, ocupando la posición 4 299 en la categoría Tecnologías y Aplicaciones y el puesto 20 796 en la región Rusia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 30 854 suscriptores.

Según los últimos datos del 25 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 545, y en las últimas 24 horas de -4, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.03%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.57% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 550 visualizaciones. En el primer día suele acumular 483 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
  • Intereses temáticos: El contenido se centra en temas clave como sellerflash, buybox, buyer, chaos, effortless.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

30 854
Suscriptores
-424 horas
+817 días
+54530 días
Archivo de publicaciones
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Agentic AI Roadmap 2026
Agentic AI Roadmap 2026

🔖 637 interactive modules on ML and AI On VizLearn, you can visually explore: 🫡 Gradient descent; 🫡 SVM and PCA; 🫡 Bayes' theorem; 🫡 BPE tokenization; 🫡 Query, Key, and Value; 🫡 KV cache; 🫡 Quantization; 🫡 Neural networks and LLMs. Change the input data and immediately see the results of the calculations. ⛓ Link to the tutorial https://vizlearn.in/

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🔥 Free IT & Dev Study Kits – 2026 Prep, No Signup If you’re prepping for cloud, dev, or AI roles this year, these free kits
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⭐️ If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1️⃣ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2️⃣ LLM Course → https://github.com/mlabonne/llm-course 3️⃣ Build a Large Language Model From Scratch → https://github.com/rasbt/LLMs-from-scratch 4️⃣ Prompt Engineering Guide → https://github.com/dair-ai/Prompt-Engineering-Guide 5️⃣ Awesome LLM Apps → https://github.com/Shubhamsaboo/awesome-llm-apps 6️⃣ OpenAI Cookbook → https://github.com/openai/openai-cookbook 7️⃣ Hands-On Large Language Models → https://github.com/HandsOnLLM/Hands-On-Large-Language-Models 8️⃣ GenAI Agents → https://github.com/NirDiamant/GenAI_Agents 9️⃣ Awesome Generative AI Guide → https://github.com/aishwaryanr/awesome-generative-ai-guide 🔟 Anthropic Courses → https://github.com/anthropics/courses 💬 Anything else you'd add to this list? === 👋 PS - Want my AI Engineering Playbook for FREE? Get a copy right now: → https://systemdesign42.github.io/ai-engineering-playbook/ #GenerativeAI #GitHub #AI #LLM #MachineLearning #TechTips 🌟 Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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If you want to get GOAT-level at software engineering, save & star these 10 GitHub repos: 1 System design academy ↳ https://github.com/systemdesign42/system-design-academy 2 Public APIs ↳ https://github.com/public-apis/public-apis 3 Tech interview handbook ↳ https://github.com/yangshun/tech-interview-handbook 4 Coding interview university ↳ https://github.com/jwasham/coding-interview-university 5 Engineering leadership ↳ https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader 6 Freecodecamp ↳ https://github.com/freeCodeCamp/freeCodeCamp 7 Developer roadmaps ↳ https://github.com/kamranahmedse/developer-roadmap 8 Path to senior engineer handbook ↳ https://github.com/jordan-cutler/path-to-senior-engineer-handbook 9 Free programming books ↳ https://github.com/EbookFoundation/free-programming-books 10 Build your own x ↳ https://github.com/codecrafters-io/build-your-own-x Anything else you'd add? ♻ Repost to help others become better engineers. https://t.me/DataAnalyticsX 🧑🏻‍💻

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Repost from Machine Learning
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