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Linkedin Learning

Linkedin Learning

رفتن به کانال در Telegram

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

نمایش بیشتر

📈 تحلیل کانال تلگرام Linkedin Learning

کانال Linkedin Learning (@linkedin_learning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 217 154 مشترک است و جایگاه 392 را در دسته آموزش و رتبه 733 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 217 154 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 16 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 285 و در ۲۴ ساعت گذشته برابر 9 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 6.48% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.05% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 14 071 بازدید دریافت می‌کند. در اولین روز معمولاً 4 460 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 14 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند author, linkedin, linux, javascript, 040k| تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 17 ژوئن, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

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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