Available now! Telegram Research 2025 — the year's key insights 
Linkedin Learning
Open in Telegram
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 216 960 subscribers, ranking 386 in the Education category and 721 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 216 960 subscribers.
According to the latest data from 02 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -95 over the last 30 days and by 83 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.82%. Within the first 24 hours after publication, content typically collects 1.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 14 787 views. Within the first day, a publication typically gains 4 053 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 12.
- 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 03 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.
216 960
Subscribers
+8324 hours
-2627 days
-9530 days
Posts Archive
216 959
🔰 Coaching Yourself to Career Success
🎟2021-12-10 • ⏱41m • 💡Intermediate
🗣 Alicia Reece
Learn how to empower yourself to take charge of your career and excel in a post-pandemic world.
📦 Topics: Career Management, Coaching
LinkedIn Learning
216 959
📁 Full description
Did you know that learning Python is one of the easiest ways to learn to code? It’s true. And in this course you can avoid the jargon and make learning how to code a lot more fun. You don’t have to be an expert technician, either. Join instructor Nick Walter and find out what you need to get started now.In this course, Nick teaches the fundamentals of Python to you: a non-programmer, a user with little to no coding experience. Learn more about what Python is, and what it is and isn’t used for. Explore how Python works with numbers and how you can interact with simple programs such as a simple number-guessing game. Find out how to work with text in Python by building a reusable function to count the words in a block of text. And along the way, tackle quick challenges and other games that allow you to put your new skills to the test.
216 959
🔰 Python for Non-Programmers
🎟2021-12-17 • ⏱1h 55m • 💡Beginner
🗣 Nick Walter
Explore the basics of Python in a course designed specifically for beginners and non-programmers.
📦 Topics: Python
LinkedIn Learning
216 959
📁 Full description
Say you wanted to get better at thinking. Where would you even start? The idea on its own is so abstract. But becoming a better thinker is attainable, and with it come some real-world results, like improvements to your relationships, career, mental health, and emotional intelligence, to name just a few. In this course, philosophy instructor Alyssa Lowery walks you through some of the best ways to improve your thinking.Find out what to do, and what not to do, when tackling a complicated idea, problem, or conversation. Get strategies to improve your intellectual humility and avoid common errors in reasoning. Explore distinctions, arguments, sources, generalizations, thought experiments, and more. It’s easy to think of thinking as an isolated, solitary activity. By the end of this course, you’ll have a better idea about why that’s not the case, how thinking happens with other people, and how you can join them in conversation to take your own thinking to the next level.This course was created by Madecraft. We are pleased to host this training in our library.
216 959
🔰 Improving Your Thinking
🎟2022-02-09 • ⏱53m • 💡Beginner
🗣 Alyssa Lowery
Get a philosophy instructor’s take on how to think critically, make more informed decisions, and communicate more effectively.
📦 Topics: Wellness, Critical Thinking, Brain Training
LinkedIn Learning
216 959
✔️ The most spectacular experiments, slow-motion and the best tricks can now be found in the telegram channel @ExperimentsZ
👀 You won't believe your eyes until you see it!
❗️3 minutes a day with our channel will make your IQ obscenely high❗️
✅ ExperimentsZ - Be on Top!
216 959
📁 Full description
Excel is a useful and versatile tool, but did you know you can also use it to analyze hypothetical business cases? Instructor Curt Frye walks you through the complete process. Curt begins by showing you how to create, define, edit, and delete scenarios, then goes into defining data tables. He explains how to use Goal Seek and Solver to create models, define constraints, and require integer solutions. Next, Curt covers ways to organize your analysis worksheet, use checkboxes to turn options on and off, and manipulate a worksheet model to analyze your business. Plus, he defines and demonstrates how to perform a Monte Carlo simulation.
216 959
🔰 Learning Excel What-If Analysis
🎟2022-02-08 • ⏱1h 22m • 💡Intermediate
🗣 Curt Frye
Find out how to analyze hypothetical business cases in Excel.
📦 Topics: What-if Analysis, Microsoft Excel
LinkedIn Learning
216 959
🔰 The Complete Guide to Freelancing in 2022
⏱ 10 Hours 📦 53 Lessons
Start a career or earn a side income by becoming a Freelancer. No experience needed. You'll learn the exact steps to get high-paying clients and live your dream life.
Taught By: Paul Mendes
Download Full Course: https://t.me/+Bo9CQV0UsWM5MDhk
Download All Courses: https://t.me/zero_to_mastery
216 959
📁 Full description
An incredible amount of unstructured text data is generated every day by social media, web pages, and a variety of other sources. But without the ability to tame and harness that data, you'll be unable to glean any value from it. In this course, learn how to translate messy text data into powerful insights using Python. Instructor Derek Jedamski begins
with a quick review of foundational NLP concepts, including how to clean text data and build a model on top of vectorized text. He then jumps into more complex topics such as word2vec, doc2vec, and recurrent neural networks. To wrap up the course, he lends these concepts a real-world context by applying them to a machine learning problem.
