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Linkedin Learning

Linkedin Learning

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

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📈 Аналитический обзор Telegram-канала Linkedin Learning

Канал Linkedin Learning (@linkedin_learning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 217 142 подписчиков, занимая 392 место в категории Образование и 733 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 217 142 подписчиков.

Согласно последним данным от 16 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 285, а за последние 24 часа — 9, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.48%. В первые 24 часа после публикации контент обычно набирает 2.05% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 14 071 просмотров. В течение первых суток публикация набирает 4 460 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 14.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как author, linkedin, linux, javascript, 040k|.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

Благодаря высокой частоте обновлений (последние данные получены 17 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

217 142
Подписчики
+924 часа
+787 дней
+28530 день
Архив постов
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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

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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