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Linkedin Learning

Linkedin Learning

前往频道在 Telegram

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

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📈 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 216 960 名订阅者,在 教育 类别中位列第 386,并在 印度 地区排名第 721

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 216 960 名订阅者。

根据 02 七月, 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 -95,过去 24 小时变化为 83,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 6.82%。内容发布后 24 小时内通常能获得 1.87% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 14 787 次浏览,首日通常累积 4 053 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 12
  • 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 03 七月, 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。

216 960
订阅者
+8324 小时
-2627
-9530
帖子存档
📁 Full description What is the best way to handle a customer who steps into dangerous territory? What strategies will help diffuse and refocus a bad interaction, and when is it appropriate to walk away? In this course, join customer service expert David Brownlee—the author of Rock Star Customer Service—as he shares real-life examples and actionable steps that can help you confidently handle abusive customers in a variety of contexts. Upon wrapping up this course, you'll have the knowledge you need to formulate a plan of action and navigate difficult customer service interactions with poise and professionalism.

🔰 Customer Service: Handling Abusive Customers 🎟2018-04-11 • ⏱36m • 💡Beginner + Intermediate 🗣 David Brownlee Learn strat
🔰 Customer Service: Handling Abusive Customers 🎟2018-04-11 • ⏱36m • 💡Beginner + Intermediate 🗣 David Brownlee Learn strategies and techniques for handling abusive customers. Discover how to diffuse and refocus negative customer service interactions. 📦 Topics: De-escalation LinkedIn Learning

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Strategic Planning Foundations @Linkedin_Learning

🔰 Strategic Planning Foundations 🎟2015-05-12 • ⏱1h 22m • 💡Intermediate 🗣 Mike Figliuolo 📦 Topics: Strategic Planning Lin
🔰 Strategic Planning Foundations 🎟2015-05-12 • ⏱1h 22m • 💡Intermediate 🗣 Mike Figliuolo 📦 Topics: Strategic Planning LinkedIn Learning

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🔰 Dart and Flutter: The Complete Developer's Guide ⏱ 35 Hours 📦 334 Lessons Everything you need to know for building mobile
🔰 Dart and Flutter: The Complete Developer's Guide ⏱ 35 Hours 📦 334 Lessons Everything you need to know for building mobile apps with Flutter and Dart, including RxDart and Animations! Taught By: Stephen Grider Download Full Course: https://t.me/+tqUopZj91PQ2Nzdk Download All Courses: https://t.me/zero_to_mastery

Best Languages for Data Science @Linkedin_Learning

📁 Full description The languages you learn as a data scientist are important to the path your career will take. In this audio-only course, Ben Sullins interviews Eric Stone, the head of Data Science at Flipside Crypto. Eric shares his insights into what languages are popular and which ones you should consider mastering for your data science career. After introductions, Eric dives into what analytics means in the world of crypto. He and Ben discuss crypto protocols, blockchain, and the importance of trust in the crypto world. Eric shares the story of how he became a data scientist, then he and Ben go into the skills and mindset needed to succeed as a data scientist. They cover what new data professionals should focus on, including R, Python, Jupyter notebooks, and enough flavors of SQL to enable you to troubleshoot effectively. Ben and Eric go over soft skills and interviewing challenges, then finish up with a discussion on the value of data science and some recommended next steps. Note: This course was created by Ben Sullins and Free the Data Academy. We are pleased to host this training in our library.

🔰 Best Languages for Data Science 🎟2021-12-07 • ⏱51m • 💡General 🗣 Ben Sullins Find out what languages are most popular an
🔰 Best Languages for Data Science 🎟2021-12-07 • ⏱51m • 💡General 🗣 Ben Sullins Find out what languages are most popular and useful in pursuing a career in data science. 📦 Topics: Data Science LinkedIn Learning

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Focus on What Matters and Minimize Distraction @Linkedin_Learning

📁 Full description Chris Bailey explores how distractions affect productivity, as well as what you can do ahead of time to keep yourself from getting sidetracked. Ironically, one of the best ways to manage your attention is to let your mind rest. This usually works best when paired with a habit or activity that anchors, but does not consume, your attention. Then, the mind is free to wander, make connections, and plan for the future. In this audio-only course from How to Be Awesome at Your Job, Chris discusses how to set an intention for what you want to accomplish, avoid task switching, and prevent yourself from procrastinating on the task at hand. He also shares techniques for strategically using breaks to your advantage and leveraging apps to block digital distractions. Tune into this course to learn these, and other practical ways to keep your attention trained on your most important projects. This course was created by Pete Mockaitis of How to Be Awesome at Your Job. We are pleased to offer this training in our library.

🔰 Focus on What Matters and Minimize Distraction 🎟2021-11-18 • ⏱37m • 💡Beginner 🗣 Pete Mockaitis | How to Be Awesome at Y
🔰 Focus on What Matters and Minimize Distraction 🎟2021-11-18 • ⏱37m • 💡Beginner 🗣 Pete Mockaitis | How to Be Awesome at Your Job Interruptions are an inevitable part of your workday. Chris Bailey discusses the many ways you can prevent yourself from getting distracted ahead of time. 📦 Topics: Wellness, Productivity Improvement, Priority Management LinkedIn Learning

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📦 Exercice Files

Decision-Making Strategies @Linkedin_Learning

🔰 Decision-Making Strategies 🎟2015-03-06 • ⏱47m • 💡General 🗣 Mike Figliuolo 📦 Topics: Decision-Making LinkedIn Learning
🔰 Decision-Making Strategies 🎟2015-03-06 • ⏱47m • 💡General 🗣 Mike Figliuolo 📦 Topics: Decision-Making LinkedIn Learning

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Deploy JavaScript Apps to AWS Elastic Beanstalk @Linkedin_Learning