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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 217 054 名订阅者,在 教育 类别中位列第 388,并在 印度 地区排名第 709

📊 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 217 054 名订阅者。

根据 07 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 2,过去 24 小时变化为 26,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 6.24%。内容发布后 24 小时内通常能获得 1.82% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 13 550 次浏览,首日通常累积 3 948 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 16
  • 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 08 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。

217 054
订阅者
+2624 小时
+3007
+230
帖子存档
Cisco CCNA (200-301) Test Prep.zip163.35 MB

📁 Full description The Cisco Certified Network Associate (CCNA) certification is a great entry point to a career in IT. The revised and more robust CCNA exam—released in February 2020—tests your knowledge on a variety of topics, including network access, IP services, security, and automation. This short course helps you understand the scope and objectives of the 200-301 exam and find resources to inform your studies, including practice tests, textbooks, and hands-on labs. Instructor Jenny Griffith also provides sample questions along with tips for choosing the right answers. By the end of the course, you'll be prepared to pursue this valuable entry-level certification required by so many of today's top employers.

🔰 Cisco CCNA (200-301) Test Prep 🎟2020-08-17 • ⏱45m • 💡Beginner 🗣 Jenny Griffith Prepare for the Cisco Certified Network
🔰 Cisco CCNA (200-301) Test Prep 🎟2020-08-17 • ⏱45m • 💡Beginner 🗣 Jenny Griffith Prepare for the Cisco Certified Network Associate (CCNA) exam. Get an overview of the test objectives, study resources, and sample questions. 📦 Topics: Network Administration LinkedIn Learning

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Developing Your Creativity as a Leader.zip494.13 MB

📁 Full description Creativity is the top skill that companies seek in their employees, but as leaders, how many of us optimize our own creative skill-building? In this course, instructor Denise Jacobs identifies how to shift into a creativity mindset, ignite and up-level your own creative thinking, and cultivate creative confidence in your teams. Denise begins with ways you can develop a creativity-thinking mindset, prevail over perfectionism, and lay a foundation to amplify creative thinking. She steps you through techniques to ignite your creative spark and up-level your creative problem-solving. Denise concludes by teaching you ways you can build creative confidence in yourself and your teams. By building your creativity-thinking skills, you can become a connected and trusted role model, able to spark change that transforms workplaces for the better.

🔰 Developing Your Creativity as a Leader 🎟2021-05-13 • ⏱59m • 💡Advanced 🗣 Denise Jacobs Learn leadership skills to employ
🔰 Developing Your Creativity as a Leader 🎟2021-05-13 • ⏱59m • 💡Advanced 🗣 Denise Jacobs Learn leadership skills to employ more creative thinking in your work, engineer creative workflows for yourself, and bring out the creative best in your team. 📦 Topics: Creativity Skills, Team Leadership LinkedIn Learning

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Machine_Learning_and_AI_Foundations_Predictive_Modeling_Strategy.zip151.72 MB

📁 Full description Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages of a project. How do you know how much data to use? What is too little, what is too much? How does your infrastructure need to scale with the volume and demands of the project? This course walks step by step through the strategic and tactical aspects of determining how much data is needed to build an effective predictive modeling solution based on machine learning and what volumes of data are so large that they will create challenges. Instructor Keith McCormick reviews each stage—data selection, data preparation, modeling, scoring, and deployment—with scalability in mind, providing IT professionals, data scientists, and leadership with new insights, perspectives, and collaboration tools. Note: This course is software agnostic. The emphasis is on strategy and planning. Examples, calculations, and software results shown are for training purposes only.

🔰 Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale 🎟2018-12-11 • ⏱1h 21m • 💡Beginner 🗣 Keith Mc
🔰 Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale 🎟2018-12-11 • ⏱1h 21m • 💡Beginner 🗣 Keith McCormick Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale. 📦 Topics: Predictive Modeling, Data Science, Machine Learning LinkedIn Learning

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Test_Automation_with_Python_4_The_WebDriver_Automation_Architecture.zip183.92 MB

📁 Full description Used correctly, Appium and Selenium can be a powerful force for testing web and mobile apps. This course is part of a series from HeadSpin University that walks you through fundamental concepts of software testing, programming, and ultimately UI automation with Appium and Selenium. This course specifically covers the WebDriver protocol and how you can use it with Appium and Selenium. Learn about the client/server architecture of WebDriver, REST APIs, protocol extensions and clients in Appium, as well as drivers in both Appium and Selenium. Note: This course was created by HeadSpin University. We are pleased to host this training in our library.

🔰 Test Automation with Python: 4 The WebDriver Automation Architecture 🎟2021-05-19 • ⏱1h 55m • 💡Beginner 🗣 HeadSpin Unive
🔰 Test Automation with Python: 4 The WebDriver Automation Architecture 🎟2021-05-19 • ⏱1h 55m • 💡Beginner 🗣 HeadSpin University Learn about Appium and Selenium, the popular UI automation tools. This course in the series focuses specifically on using the WebDriver protocol with Appium and Selenium. 📦 Topics: WebDriver, Python, Test Automation LinkedIn Learning

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