uz
Feedback
Linkedin Learning

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 217 154 obunachidan iborat bo'lib, Taʼlim toifasida 392-o'rinni va Hindiston mintaqasida 733-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 217 154 obunachiga ega bo‘ldi.

16 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 285 ga, so‘nggi 24 soatda esa 9 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.48% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.05% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 14 071 marta ko‘riladi; birinchi sutkada odatda 4 460 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 17 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.

217 154
Obunachilar
+924 soatlar
+787 kunlar
+28530 kunlar
Postlar arxiv
Good afternoon, we have found a casino bot for you. When you register, you will receive a $1,000 bonus. We have tested everything and have already withdrawn the money Casino🎰 online bot -> @CriptCasino_bot 1000$ DOLLARS BONUS💰 PROMO - 555 👇👇👇👇👇👇 BOT -> @CriptCasino_bot

Good afternoon, we have found a casino bot for you. When you register, you will receive a $1,000 bonus. We have tested everything and have already withdrawn the money Casino🎰 online bot -> @CriptCasino_bot 1000$ DOLLARS BONUS💰 PROMO - 555 👇👇👇👇👇👇 BOT -> @CriptCasino_bot

Hello, we tested the casino bot. They're giving away $1,000 upon registration. We checked everything and withdrew the money. The promotion lasts for one day.🎰-> @CriptCasino_bot Bot casino🎰 ----> @CriptCasino_bot 1000$ Bonus

We're withdrawing money for the second time. The bot has been verified. Don't miss out on your $1,000 bonus. The promotion lasts for one day.🎰-> @CriptCasino_bot Bot casino🎰 ----> @CriptCasino_bot 1000$ Bonus

Hello, we tested the casino bot. They're giving away $1,000 upon registration. We checked everything and withdrew the money. The promotion lasts for one day.🎰-> @CriptCasino_bot Bot casino🎰 ----> @CriptCasino_bot 1000$ Bonus

Hello, we tested the casino bot. They're giving away $1,000 upon registration. We checked everything and withdrew the money. The promotion lasts for one day.🎰-> @CriptCasino_bot Bot casino🎰 ----> @CriptCasino_bot 1000$ Bonus

📦 Exercise Files

📱Machine Learning 📱Machine Learning Foundations: Calculus

🔅 Machine Learning Foundations: Calculus 📝 Learn the basics of calculus concepts and techniques used to design and implemen
🔅 Machine Learning Foundations: Calculus 📝 Learn the basics of calculus concepts and techniques used to design and implement ML algorithms. 🌐 Author: Terezija Semenski 🔰 Level: Beginner ⏰ Duration: 1h 29m 📋 Topics: Calculus, Machine Learning 🔗 Join Machine Learning for more courses

📱Data Analysis 📱Hands-On Advanced Python: Data Engineering Basics

🔅 Hands-On Advanced Python: Data Engineering Basics 📝 Practice applying advanced concepts and coding moves in Python in thi
🔅 Hands-On Advanced Python: Data Engineering Basics 📝 Practice applying advanced concepts and coding moves in Python in this hands-on, interactive course with coding challenges in CoderPad. 🌐 Author: Joe Marini 🔰 Level: Advanced ⏰ Duration: 1h 56m 📋 Topics: Python 🔗 Join Data Analysis for more courses

📱The Coding Space 📱Foundations of Algorithmic Thinking with Python

🔅 Foundations of Algorithmic Thinking with Python 📝 Learn how to develop your algorithmic thinking skills to become a bette
🔅 Foundations of Algorithmic Thinking with Python 📝 Learn how to develop your algorithmic thinking skills to become a better problem solver. 🌐 Author: Robin Andrews 🔰 Level: Advanced ⏰ Duration: 1h 16m 📋 Topics: Python, Algorithms 🔗 Join The Coding Space for more courses

📱Machine Learning 📱Machine Learning with Python: Logistic Regression

🔅 Machine Learning with Python: Logistic Regression 📝 Get an introduction to logistic regression by exploring how to build
🔅 Machine Learning with Python: Logistic Regression 📝 Get an introduction to logistic regression by exploring how to build supervised machine learning models with Python. 🌐 Author: Frederick Nwanganga 🔰 Level: Intermediate ⏰ Duration: 1h 19m 📋 Topics: Logistic Regression, Machine Learning, Python 🔗 Join Machine Learning for more courses

📦 Exercise Files

📱Web Development 📱Figma: Building Animations and Interactions

🔅 Figma: Building Animations and Interactions 📝 Learn how to translate animations and interactions designed in Figma to dev
🔅 Figma: Building Animations and Interactions 📝 Learn how to translate animations and interactions designed in Figma to developers for building code on native platforms. 🌐 Author: Joseph Labrecque 🔰 Level: Intermediate ⏰ Duration: 1h 11m 📋 Topics: Animation, Figma 🔗 Join Web Development for more courses

📱Artificial intelligence 📱Hugging Face Transformers: Introduction to Pretrained Models

🔅 Hugging Face Transformers: Introduction to Pretrained Models 📝 Learn how to build natural language processing (NLP) appli
🔅 Hugging Face Transformers: Introduction to Pretrained Models 📝 Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform. 🌐 Author: Kumaran Ponnambalam 🔰 Level: Advanced ⏰ Duration: 54m 📋 Topics: Hugging Face Products, Natural Language Processing, Transformers 🔗 Join Artificial intelligence for more courses