现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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 216 810 名订阅者，在 教育 类别中位列第 387，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 216 810 名订阅者。
根据 30 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 -326，过去 24 小时变化为 -64，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 6.72%。内容发布后 24 小时内通常能获得 1.81% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 14 556 次浏览，首日通常累积 3 932 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 01 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。
216 810
订阅者
-6424 小时
-4767 天
-32630 天
帖子存档
216 801
📁 Full description
There are many principles that support good object-oriented design and programming. Five of these principles are described by SOLID: single responsibility, open-closed, Liskov substitution, interface segregation, and dependency inversion. These principles guide the creation of stable, scalable, and robust code.To incorporate SOLID into your own development workflow, Steven Lott has prepared a series of lessons that break down the principles one by one, with real-world examples. Learn how to use these principles in the design process, and to test the strength of your code along the way. Steven uses Python to demonstrate the concepts, but they're useful for any object-oriented programming language.
216 801
🔰 Learning SOLID Programming Principles
🎟2022-03-09 • ⏱1h 49m • 💡Intermediate
🗣 Steven Lott
Learn the SOLID programming principles to write more stable, scalable code. Get detailed examples and real-world examples of SOLID in action.
📦 Topics: Programming, SOLID Design Principles
LinkedIn Learning
216 801
📁 Full description
No two businesses are exactly the same, but they all have two things in common. Every business depends on supply chains and technology—and you need both in order to succeed. The hard part is, you cant keep up with technology unless you transform your supply chains, too. In this course, instructor Daniel Stanton offers a big-picture view of supply chain management and teaches you how to overcome important challenges and harness technology to create innovative solutions.Learn about supply chain challenges and why new technologies are important for solving them. Find out how to continuously improve your supply chain by making it faster, cheaper, and better, utilizing tools related to cybersecurity, AI, blockchain, cloud computing, simulation, automated delivery, quantum computing, robotics, and more. By the end of this course, youll be ready to incorporate these tools into a roadmap thats measurable, team-based, and positioned for effective digital transformation.
216 801
🔰 Digital Transformation in Supply Chains
🎟2022-04-04 • ⏱1h 21m • 💡Intermediate
🗣 Daniel Stanton
Explore common challenges in supply chains and how to use new technologies to create innovative business solutions.
📦 Topics: Supply Chain Management, Digital Transformation
LinkedIn Learning
216 801
📁 Full description
Since the inception of data analytics, the way in which analysts view and interpret data has evolved tremendously. New technologies, tools, and approaches have advanced what's possible with data analytics, and network analysis is no exception. In this course, longtime data analyst and data visualization expert Heather Johnson shares the fundamentals of using graph analytics, or network analysis, when analyzing data. Heather begins by reviewing the components of a network analysis and detailing the advantages of using a graph analytics approach. She then walks through key applications of using graph analytics when reviewing data. To wrap up the course, Heather discusses career opportunities within the realm of graph analytics. Upon completion, youll be equipped with the knowledge of what graph analytics is and how it can be leveraged within your analytics career.This course was created by Madecraft. We are pleased to host this training in our library.
216 801
🔰 Data Analytics: Graph Analytics
🎟2021-10-07 • ⏱19m • 💡Beginner
🗣 Heather Johnson
Learn the fundamentals of graph analytics—an up-and-coming approach to tackling data science projects—in this concise course.
📦 Topics: Data Analytics
LinkedIn Learning
216 801
📁 Full description
Do you have a billion-dollar idea for a business or product but dont know where to start? Or maybe youre a product manager tasked with the hefty responsibility of building a new product at your company and feeling lost? In this course, Silicon Valley entrepreneur and venture capitalist Charu Sharma teaches you how to build a product from scratch, step by step. Using both real-world and fictional examples, Charu takes you through the product development journey, from your initial vague idea for a product, to understanding your potential product-market fit, to building and testing a prototype, and aligning with key stakeholders. By the end of this course, you will be equipped with the knowledge and best practices to turn your product dreams into reality.
216 801
🔰 Building a Product from Scratch
🎟2022-03-30 • ⏱47m • 💡Beginner
🗣 Charu Sharma
Gain essential skills to develop new products from scratch.
📦 Topics: Product Development
LinkedIn Learning
