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Linkedin Learning

Linkedin Learning

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

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📈 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 217 029 subscribers, ranking 387 in the Education category and 715 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 217 029 subscribers.

According to the latest data from 05 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 29 over the last 30 days and by 36 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.24%. Within the first 24 hours after publication, content typically collects 1.83% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 13 541 views. Within the first day, a publication typically gains 3 968 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
  • 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 06 July, 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.

217 029
Subscribers
+3624 hours
+1157 days
+2930 days
Posts Archive
📁 Full description In advertising and marketing, ideas are currency. Some are small, some are average, and then there's the select few that are truly big ideas—the type that change behaviors, shake landscapes, and spawn copycats. But what makes a big idea? In this course, Stefan Mumaw reveals the seven characteristics of ideas that resonate. He shows you what big ideas look like, using examples from real-world companies like Dove, Volkswagen, TNT, and Google, and teaches you how to unlock the potential in your own ideas and connect with your audience in a meaningful way.

🔰 Ideas That Resonate 🎟2014-07-22 • ⏱34m • 💡Beginner 🗣 Stefan Mumaw Learn the seven characteristics of ideas that resonat
🔰 Ideas That Resonate 🎟2014-07-22 • ⏱34m • 💡Beginner 🗣 Stefan Mumaw Learn the seven characteristics of ideas that resonate, and discover how to connect with your audience in a big way. 📦 Topics: Design Thinking LinkedIn Learning

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Visual Studio Tips and Techniques for Developers.zip130.90 MB

🔰 Visual Studio Tips and Techniques for Developers 🎟2021-04-29 • ⏱40m • 💡Intermediate 🗣 Walt Ritscher Discover tips and t
🔰 Visual Studio Tips and Techniques for Developers 🎟2021-04-29 • ⏱40m • 💡Intermediate 🗣 Walt Ritscher Discover tips and techniques that can make working in Microsoft Visual Studio simpler, faster, and more interesting. In this course designed for .NET developers, Walt Ritscher shines a spotlight on helpful shortcuts and productivity boosters for Visual Studio. He dives into a variety of topics, including filtering views, using custom keyboard commands, grouping files with tabs, duplicating code, and previewing files. Plus, learn about helpful extensions that augment the power of Visual Studio. 📦 Topics: Productivity Improvement, Visual Studio LinkedIn Learning

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Zero To Mastery is an online coding school and private developer community of 200,000+ students worldwide learning to code, h
Zero To Mastery is an online coding school and private developer community of 200,000+ students worldwide learning to code, helping each other grow, getting hired and advancing their careers at world-class companies. https://t.me/joinchat/epCtQBjQUQ5iMjg8

📦 Exercice Files

Building_an_Ethereum_Blockchain_App_7_Smart_Contracts_Part_02.zip857.78 MB

Building_an_Ethereum_Blockchain_App_7_Smart_Contracts_Part_01.zip850.73 MB

📁 Full description Have you wondered how blockchain can help you create applications that offer greater transparency, traceability, efficiency, and resilience while lowering your costs? This course, seventh in a series of eleven, goes in-depth on smart contracts. Instructor Michael Solomon reviews what smart contracts are, then takes you through some real world examples of blockchain solutions being used today. Michael goes over some supply chain challenges and how blockchain solves them in a unified way. He explains the payment system that Ethereum tokens represent. Then Michael dives into your supply chain project: what it will look like, what programming language you will use, what data types you will use, and how to define them. He briefly revisits the concept of gas and how it is calculated and used, then concludes with helpful explanations of controlling flow and handling errors. Note: This course was created by Michael Solomon. We are pleased to host this training in our library.

🔰 Building an Ethereum Blockchain App: 7 Smart Contracts 🎟2021-08-11 • ⏱1h 33m • 💡Intermediate 🗣 Michael Solomon Learn ab
🔰 Building an Ethereum Blockchain App: 7 Smart Contracts 🎟2021-08-11 • ⏱1h 33m • 💡Intermediate 🗣 Michael Solomon Learn about smart contracts, blockchain supply chains, types of data, how to handle errors, and more. 📦 Topics: Smart Contracts, Ethereum, Blockchain LinkedIn Learning

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📦 Exercice Files

Python for Data Science Tips, Tricks, & Techniques.zip134.27 MB

📁 Full description Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing. This course highlights twelve tips and tricks you can put into practice to improve your skills in Python. These techniques are readily applied and in common data management tasks and include the following: how to ingest data using CSV, JSON, and TXT files; how to explore data using libraries like Pandas; how to organize and join data using DataFrames; how to create charts and graphic representations of data using ggplot in Python; and more.

🔰 Python for Data Science Tips, Tricks, & Techniques 🎟2017-08-09 • ⏱47m • 💡Intermediate 🗣 Ben Sullins Learn 12 techniques
🔰 Python for Data Science Tips, Tricks, & Techniques 🎟2017-08-09 • ⏱47m • 💡Intermediate 🗣 Ben Sullins Learn 12 techniques for how to work with data using Python. Review how to explore data, ingest data, visualize data, and more. 📦 Topics: Big Data, Python LinkedIn Learning

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Build Your Financial Literacy.zip861.88 MB

📁 Full description If you’ve ever felt confused by financial decisions you needed to make, or financial documents that you needed to read, this course is for you. Finances are important, but the jargon can be overwhelming. In this course, finance expert Cassandra Reed walks you through dozens of common financial terms. Cassandra shows you how to use these terms comfortably, recognize them in documents, and use them to make smarter financial decisions. She covers calculating your net worth, navigating your personal bank accounts, and making informed choices about investing. Cassandra explains how to identify the differences between common retirement accounts, such as IRA’s and 401(k)’s. Finally, if you’re a small business owner, this course offers you a solid foundation in the documents and terms you need to know to ensure you’re staying profitable. No matter how early you are in your financial journey, this course can help. This course was created by Madecraft. We are pleased to host this training in our library.