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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Show more📈 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 216 999 subscribers, ranking 387 in the Education category and 718 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 216 999 subscribers.
According to the latest data from 26 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -37 over the last 30 days and by -71 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.73%. Within the first 24 hours after publication, content typically collects 1.57% reactions from the total number of subscribers.
- Post reach: On average, each post receives 14 618 views. Within the first day, a publication typically gains 3 415 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
- 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 27 June, 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.
216 999
Subscribers
-7124 hours
-527 days
-3730 days
Posts Archive
216 988
🔸 Full description 🔸
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, youll have the essential information you need to determine whether Python or R is right for you.This course was created by Madecraft. We are pleased to host this training in our library.
216 988
🔅 Python vs. R for Data Science
🔊 Author: Lavanya Vijayan
🔸 Date: 2021-10-04
⏰ Duration: 39m
🌀
Learn about the pros and cons of using Python and R, two common programming languages, when working on data science projects.
📗 Topics: R, Python
🔷 Join @linkedin_learning for more courses216 988
🔸 Full description 🔸
Weve all been there: Were in an argument, and things just arent going well. Were not convincing, and maybe things even get personal and emotional. Even worse, maybe this happens at work. How do you get out of that reactive emotional space? Better yet, how do you avoid getting into that situation in the first place? In this course, law professor Kim Wehle shows you how to identify and create strong arguments backed with sound reasoning, so you can be more confident, more effective, and ultimately reach a place of common ground that everyone can feel good about. Kim starts with explaining how to identify and support your claims, then discusses how to use both deductive and inductive logic in the workplace. She also highlights several logical fallacies—like the straw man fallacy, the slippery slope, and begging the question—that can undermine your arguments.
216 988
🔅 Build Your Logical Thinking Skills
🔊 Author: Kim Wehle
🔸 Date: 2022-05-20
⏰ Duration: 40m
🌀
Learn how to identify and create strong arguments backed with sound reasoning.
📗 Topics: Logical Reasoning
🔷 Join @linkedin_learning for more courses216 988
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216 988
Your contribution in this survey is very much appreciated! It only takes 4 to 8 minutes! This is the link to the survey in Google Forms: https://docs.google.com/forms/d/e/1FAIpQLSeq7BjmicZ9sEQUk34P1nIqXURXbWoqicYo5_Krm8N8RTkKlA/viewform?usp=sf_link
216 988
🔸 Full description 🔸
Are you new to cloud computing? If so, this course can help you build your cloud computing skill set by familiarizing you with the business and tech-related basics of creating a cloud architecture. Join cloud-computing luminary David Linthicum as he discusses what cloud architecture is and why a strong architecture is crucial. After covering the fundamentals, he moves on to identifying the business and technical requirements of building a cloud architecture and goes over cloud parts and how to work from requirements to a solution. The course concludes by leading you through how to build your first architecture.
216 988
🔅 Cloud Architecture: Core Concepts
🔊 Author: David Linthicum
🔸 Date: 2022-03-18
⏰ Duration: 59m
🌀
Boost your cloud computing skill set. Learn about the business and technical requirements of building a strong architecture, how to build your first architecture, and more.
📗 Topics: Cloud-Native Architecture
🔷 Join @linkedin_learning for more courses216 988
🔸 Full description 🔸
If youre an IT professional, you already know that new architectural patterns and concepts are changing the way we design for the cloud. This is especially true in todays remote and hybrid work environment, where choosing the right type of cloud platform can determine the success and functionality of your entire IT enterprise.Join instructor Lee Atchison as he shows you the business and tech-related basics of orchestrating and managing an effective cloud architecture. Learn about the various types of cloud platforms and architecture types, as well as how to determine which option will work best for you. Explore service and microservice architectures, data management tools, serverless computing, and cloud security as you build out your infrastructure. Lee shows you how to successfully incorporate automation and management practices into your architecture strategy so you can create a more efficient environment for software development.
216 988
🔅 Cloud Architecture: Advanced Concepts
🔊 Author: Lee Atchison
🔸 Date: 2022-02-14
⏰ Duration: 1h 23m
🌀
Explore the business and tech-related basics of how to create, orchestrate, and manage an effective cloud architecture.
📗 Topics: Cloud-Native Architecture
🔷 Join @linkedin_learning for more courses216 988
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.
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