Linkedin Learning
Open in Telegram
Linkedin Learning Download and watch Linkedin Learning Courses π Pα΄Ιͺα΄ α΄α΄ s : https://telega.io/c/linkedin_learning
Show moreπ 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 217 354 subscribers, ranking 386 in the Education category and 701 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 217 354 subscribers.
According to the latest data from 12 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 213 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.15%. Within the first 24 hours after publication, content typically collects 1.96% reactions from the total number of subscribers.
- Post reach: On average, each post receives 15 531 views. Within the first day, a publication typically gains 4 249 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|.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLinkedin Learning
Download and watch Linkedin Learning Courses
π Pα΄Ιͺα΄
α΄α΄
s :
https://telega.io/c/linkedin_learningβ
Thanks to the high frequency of updates (latest data received on 13 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.
217 354
Subscribers
-1124 hours
+2857 days
+21330 days
Posts Archive
217 360
π
Security Tips: Metadata
π Author: Scott Simpson
πΈ Date: 2022-11-16
β° Duration: 1h 11m
π
Metadata provides robust information about the contents of files, but it can also present security risks. Get an overview of metadata security concerns and practices.
π Topics: Data Security, Metadata
π· Join @linkedin_learning for more courses217 360
πΈ Full description πΈ
Learn everything you need to know about Windows 11, the newest desktop operating system from Microsoft. Whether you're new to Windows or upgrading from Windows 10, this comprehensive course will help you work effectively with this powerful OS.LinkedIn Learning Staff Instructor Nick Brazzi begins with operating system basics, such as managing files and folders. Next, Nick shows how to find and use apps, browse the web, and work with email, calendar, and contacts. He explains how to use Teams, which is now embedded in the Windows interface. Nick also demonstrates how to customize Windows by adjusting your display preferences and account settings, and how to leverage the most useful accessibility features included with Windows. Plus, discover how to use Cortana, the digital assistant; share data between Windows devices; and back up Windows.
217 360
π
Windows 11 Essential Training
π Author: Nick Brazzi
πΈ Date: 2022-10-06
β° Duration: 4h 25m
π
Learn to use Windows 11, the next-generation desktop OS from Microsoft.
π Topics: Windows
π· Join @linkedin_learning for more courses217 360
gotraderpros
We have the best trade signals and News Report for the Stock Market and its all FREE!
217 360
We provide technical signals that help traders identify and seize potential trading opportunitiesπ!
πΆ FREE Signal service for all reg user
πΆ Get your signal service in Telegram Bot
πΆ Customise Signal Service for 5m - 24hr
π One step Register
π No KYC required
π Crypto-Friendly Platform
ππ»Free Signals & Reg: https://bit.ly/3MSE5cO
Service Bot: https://t.me/MagnaMarketsBot
217 360
Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!π
The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QAβ?
β
QA stands for Quality Assurance. Software QA Engineers (or Software Testers) make sure websites and mobile apps work as expected. They search for errors and bugs and report them to the development team. All tech companies require QA Engineers to prevent issues and guarantee high-standard outcomes.
Manual QA is a straightforward task!
π No experience required
π High salaries & demand
π No need to learn coding or programming!
π Weβll teach you all you need to know to get, do and keep the job of Software Engineer.
π Follow the link to get:
β
2 hours of career insights
β
Practice a real-life test case of a QA engineer
β
Special offer
See you May 30th at our webinar!
217 360
πΈ Full description πΈ
In the war for top talent, it's important to create an effective talent strategy. And it doesnt start with recruitment. An effective strategy begins by knowing where to find or "source" the best possible candidates. You need to proactively identify and attract top talent, so that when a position becomes available, you have developed a pipeline of qualified candidates. In this course, award-winning recruiter and trainer Barbara Bruno explains the meaning of talent sourcing and how to create and implement a winning sourcing strategy. She introduces basic and higher-level candidate sourcing techniques, explains how to identify resources with the best ROI, and explains how to use big data, social media, and tools like LinkedIn Recruiter in your sourcing efforts.
217 360
π
Talent Sourcing
π Author: Barbara Bruno
πΈ Date: 2022-11-15
β° Duration: 1h 4m
π
To find the best and brightest people for a role, you need to know where to look. Learn how to implement talent-sourcing strategies to recruit top candidates.
π Topics: Talent Sourcing
π· Join @linkedin_learning for more courses217 360
πΈ Full description πΈ
Every year, it seems, there is a new hot trend in data science. One of the hottest predictive analytics algorithms this year is gradient-boosted trees. One cannot hope to understand why it is popular and successful if one doesnt understand the basics of decision trees. Specific tree algorithms have risen and fallen in popularity, but the core concepts have been fundamental to the discipline for at least 30 years. In this course, instructor Keith McCormick demonstrates and discusses a half-dozen popular decision tree algorithms. Keith shows how to access them using other open-source options from within the KNIME platform. He explains them and reverse engineers them to create a solid foundation on which to build more advanced data science skills.
217 360
π
Machine Learning and AI Foundations: Advanced Decision Trees with KNIME
π Author: Keith McCormick
πΈ Date: 2022-11-14
β° Duration: 1h 33m
π
Learn to go beyond the basic decision tree algorithms in KNIME by accessing WEKA, R, and Python-based decision tree and rule induction algorithms from within the KNIME platform.
π Topics: Decision Trees, Knime, Machine Learning
π· Join @linkedin_learning for more courses