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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Show more📈 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 217 142 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 217 142 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.
217 142
Subscribers
+924 hours
+787 days
+28530 days
Posts Archive
217 149
🔅 Hands-On Data Science using SQL, Tableau, Python, and Spark
📝 Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.
🌐 Author: Ben Sullins
🔰 Level: Intermediate
⏰ Duration: 1h 13m
📋 Topics: Data Science, SQL, Python
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217 149
🔅 Google Gemini: Get Started with Googles AI Assistant
📝 Use Gemini, Googles AI assistant, to get answers to questions, draft new content, or help inside of Google Workspace apps like Gmail, Google Docs, and Google Sheets.
🌐 Author: Nick Brazzi
🔰 Level: General
⏰ Duration: 36m
📋 Topics: Google Gemini, Artificial Intelligence for Business
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217 149
🔅 Gmail Essential Training
📝 Discover how to use all the key features of Gmail, the free email service from Google.
🌐 Author: Jess Stratton
🔰 Level: Beginner + Intermediate
⏰ Duration: 1h 51m
📋 Topics: Artificial Intelligence for Business, Gmail
🔗 Join Linkedin Learning for more courses
217 149
Level up your life, not just your feed.
Sigmet.app opens its first waves of users with a new model of social growth: Social Weight, Trust Flow, and 8 real Growth Directions that reflect who you are and who you become.
Get in early, secure your position, grow faster, and influence the future of the platform.
Your early activity will permanently boost your SW and TF.
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217 149
🔅 Change Management for HR in the Wake of AI
📝 Discover strategies for HR professionals to manage continuous change driven by AI, focusing on organizational readiness, cultural adaptation, and ethical considerations.
🌐 Author: Alisa Cohn
🔰 Level: Intermediate
⏰ Duration: 33m
📋 Topics: Artificial Intelligence for Business, Change Management, Strategic Human Resource Planning
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217 149
🔅 CSS: Variables and Fluid Layouts
📝 Learn how to leverage recent advances in CSS to more efficiently build sites with a single design that adapts readily to different screens and environments.
🌐 Author: Jen Kramer
🔰 Level: Advanced
⏰ Duration: 2h 2m
📋 Topics: Cascading Style Sheets
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217 149
🔅 GraphRAG Essential Training
📝 Learn how to build robust AI applications by creating knowledge graphs for retrieval-augmented generation (RAG) in Python using LangChain and Neo4j.
🌐 Author: Dr. Clair Sullivan
🔰 Level: Intermediate
⏰ Duration: 1h 39m
📋 Topics: Retrieval-Augmented Generation, Knowledge Graph Augmentation, Knowledge Graphs
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217 149
🔅 Excel: Introduction to Formulas and Functions
📝 This course shows beginning and hesitant learners how to summarize and analyze data using Excels built-in functions and data analysis features.🌐 Author: Curt Frye 🔰 Level: Intermediate ⏰ Duration: 2h 37m 📋 Topics: Excel Formulas, Microsoft Excel 🔗 Join Linkedin Learning for more courses
217 149
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217 149
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217 149
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