Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Linkedin Learning
Kanalga Telegram’da o‘tish
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Ko'proq ko'rsatish📈 Telegram kanali Linkedin Learning analitikasi
Linkedin Learning (@linkedin_learning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 217 129 obunachidan iborat bo'lib, Taʼlim toifasida 388-o'rinni va Hindiston mintaqasida 718-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 217 129 obunachiga ega bo‘ldi.
20 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 252 ga, so‘nggi 24 soatda esa 5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.70% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.41% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 14 549 marta ko‘riladi; birinchi sutkada odatda 3 053 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent author, linkedin, linux, javascript, 040k| kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 21 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
217 129
Obunachilar
+524 soatlar
+267 kunlar
+25230 kunlar
Postlar arxiv
217 125
🔅 Ethical Hacking: Vulnerability Analysis
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🌀 Manage risk by assessing vulnerabilities. Learn about the processes, methodologies, and tools you need to find and address weaknesses that attackers might exploit.📗 Topics: Ethical Hacking, Vulnerability Assessment and Penetration Testing 📤 Download Full Course
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🔅 Linux System Engineer: Advanced Disk Systems and System Backup
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🔅 Linux System Engineer: Advanced Disk Systems and System Backup
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🔅 Cybersecurity Foundations
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🔅 Supply Chain Foundations: Project Management
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🔅 CSS Essential Training
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🔅 Deep Learning Foundations: Natural Language Processing with TensorFlow
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🔅 Supervised Learning Essential Training
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🌀 This mid-level course takes you through how to create one of the most common types of machine learning: supervised learning models.📗 Topics: Supervised Learning, Machine Learning 📤 Download Full Course
