Linkedin Learning
前往频道在 Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
显示更多📈 Telegram 频道 Linkedin Learning 的分析概览
频道 Linkedin Learning (@linkedin_learning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 217 132 名订阅者,在 教育 类别中位列第 388,并在 印度 地区排名第 718 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 217 132 名订阅者。
根据 20 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 252,过去 24 小时变化为 5,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 6.70%。内容发布后 24 小时内通常能获得 1.41% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 14 549 次浏览,首日通常累积 3 053 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 14。
- 主题关注点: 内容集中在 author, linkedin, linux, javascript, 040k| 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
凭借高频更新(最新数据采集于 21 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
217 132
订阅者
+524 小时
+267 天
+25230 天
帖子存档
217 125
🔅 AI Fundamentals for Data Professionals
🌐 Author: Sadie St. Lawrence
🔰 Level: Intermediate
⏰ Duration: 1h 7m
🌀 Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals.📗 Topics: Data Science, Artificial Intelligence 📤 Download Full Course
217 125
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🔅 Introduction to SQLite
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🌀 Get started using the versatile SQLite database engine.📗 Topics: SQLite 📤 Download Full Course
217 125
🔅 Defeating Windows Defender
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🌀 Learn approaches to disabling Windows Defender and defeating the anti-malware service interface that runs in Windows Defender and in PowerShell to detect malicious activity.📗 Topics: Microsoft Defender, Penetration Testing 📤 Download Full Course
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🔅 CSS: Variables and Fluid Layouts
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217 125
🔅 React: Creating and Hosting a Full-Stack Site
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217 125
🔅 Power BI Essential Training
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🔅 Using Python for Automation
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🔅 Using Python for Automation (2019)
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🌀 Learn how to automate repetitive tasks using Python.📗 Topics: Process Automation, Python 📤 Download Full Course
217 125
🔅 Using Python for Automation (2019)
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🔰 Level: Advanced
⏰ Duration: 56m
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🔅 Cybersecurity Maturity Model Certification (CMMC 2.0)
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🔅 MySQL Advanced Topics
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🔅 What Business Leaders Need to Know about Web3 (+ Metaverse)
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🔅 Designing a 4 Day Work Week
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🔅 Advanced NLP with Python for Machine Learning (2020)
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🌀 Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.📗 Topics: Natural Language Processing, Machine Learning, Python 📤 Download Full Course
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
