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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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📈 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
Posts Archive
📱Learn JavaScript 📱Databases for Node.js Developers

🔅 Databases for Node.js Developers 📝 Get a brief introduction to databases, master the integration of different databases i
🔅 Databases for Node.js Developers 📝 Get a brief introduction to databases, master the integration of different databases into your applications, and enhance your backend skill set. 🌐 Author: Daniel Khan 🔰 Level: Intermediate ⏰ Duration: 4h 4m 📋 Topics: Database Development, Node.js 🔗 Join Learn JavaScript for more courses

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📦 Exercise Files

📱Data Analysis 📱MySQL Installation and Configuration

🔅 MySQL Installation and Configuration 📝 Learn how to install and configure MySQL on various platforms, including Mac and W
🔅 MySQL Installation and Configuration 📝 Learn how to install and configure MySQL on various platforms, including Mac and Windows. 🌐 Author: Bill Weinman 🔰 Level: Intermediate ⏰ Duration: 1h 20m 📋 Topics: MySQL, Database Administration 🔗 Join Data Analysis for more courses

📱Business and Finance 📱Corporate Finance for Non-Financial Managers

🔅 Corporate Finance for Non-Financial Managers 📝 Learn the basics of finance and accounting that will allow you to understa
🔅 Corporate Finance for Non-Financial Managers 📝 Learn the basics of finance and accounting that will allow you to understand the financial information involved in the numbers side of running a business. 🌐 Author: Jim Stice 🔰 Level: General ⏰ Duration: 1h 52m 📋 Topics: Corporate Finance, Financial Accounting 🔗 Join Business and Finance for more courses

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

📱Learn Python 📱Python Data Analysis

🔅 Python Data Analysis 📝 Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together
🔅 Python Data Analysis 📝 Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small. 🌐 Author: Michele Vallisneri 🔰 Level: Intermediate ⏰ Duration: 3h 43m 📋 Topics: Statistical Data Analysis, Data Analysis, Python 🔗 Join Learn Python for more courses

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