Linkedin Learning

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

📈 Analytical overview of Telegram channel Linkedin Learning

Channel Linkedin Learning (@linkedin_learning) in the English language segment is an active participant. Currently, the community unites 217 154 subscribers, ranking 392 in the Education category and 733 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 217 154 subscribers.

According to the latest data from 16 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 285 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 6.48%. Within the first 24 hours after publication, content typically collects 2.05% reactions from the total number of subscribers.
Post reach: On average, each post receives 14 071 views. Within the first day, a publication typically gains 4 460 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
Thematic interests: Content is focused on key topics such as author, linkedin, linux, javascript, 040k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning”

Thanks to the high frequency of updates (latest data received on 17 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

217 154

Subscribers

+924 hours

+787 days

+28530 days

14 071

Post views

~ 4 46024 hours

~ 6 21148 hours

6.48%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

217 142

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217 142

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217 142

📦 Exercise Files

217 142

📱Machine Learning 📱Machine Learning Foundations: Calculus

217 142

🔅 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

217 142

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

217 142

🔅 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

217 142

📱The Coding Space 📱Foundations of Algorithmic Thinking with Python

217 142

🔅 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

217 142

📱Machine Learning 📱Machine Learning with Python: Logistic Regression

217 142

🔅 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

217 142

📦 Exercise Files

217 142

📱Web Development 📱Figma: Building Animations and Interactions

217 142

🔅 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

217 142

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

217 142

🔅 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