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Linkedin Learning

Linkedin Learning

الذهاب إلى القناة على Telegram

Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Linkedin Learning

تُعد قناة Linkedin Learning (@linkedin_learning) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 217 142 مشتركاً، محتلاً المرتبة 392 في فئة التعليم والمرتبة 733 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 217 142 مشتركاً.

بحسب آخر البيانات بتاريخ 16 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 285، وفي آخر 24 ساعة بمقدار 9، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.48‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.05‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 14 071 مشاهدة. وخلال اليوم الأول يجمع عادةً 4 460 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 14.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل author, linkedin, linux, javascript, 040k|.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 17 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

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📦 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