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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Больше📈 Аналитический обзор Telegram-канала Linkedin Learning
Канал Linkedin Learning (@linkedin_learning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 217 142 подписчиков, занимая 389 место в категории Образование и 717 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 217 142 подписчиков.
Согласно последним данным от 21 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 210, а за последние 24 часа — -2, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.71%. В первые 24 часа после публикации контент обычно набирает 1.41% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 14 571 просмотров. В течение первых суток публикация набирает 3 053 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 13.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как author, linkedin, linux, javascript, 040k|.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Благодаря высокой частоте обновлений (последние данные получены 22 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
217 142
Подписчики
-224 часа
+27 дней
+21030 день
Архив постов
217 154
🔸 Full description 🔸
In the world of hybrid work, uncertainty, and constant change, people need healthy work relationships to feel supported and show up as their best selves, This course teaches essential skills to build and maintain more resilient relationships.
Dr. Emily Anhalt teaches essential tools and skills, including: taking ownership of your part, strategies to build empathy, ways to create a more positive and safe working environment, ways to move from reactive to proactive, how to have healthy conflict, getting on the same team, expressing yourself more effectively, and breaking an emotional sweat every day.
217 154
🔅 Skills to Build Stronger Work Relationships
🌐 Author: Emily Anhalt
🔰 Level: General
⏰ Duration: 36m
🌀
Learn essential skills to build stronger work relationships to navigate stresses and increase joy and success.
📗 Topics: Interpersonal Relationships, Positive Work Environment
📤 Join @linkedin_learning for more courses217 154
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217 154
A famous sheikh from the UAE founded a telegram’s channel about economics.
His trick is to talk wittily and accessibly about what is happening in the world economy, explaining complex processes in such a way that anyone will understand what he is talking about.
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217 154
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217 154
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To get started, you need to download the app, verify it, and receive $5 for free. Activating the card for Apple Pay and Google Pay requires a $10 payment. If you want a physical card, it costs $100. The unique feature is the ability to convert your loaded money into digital currencies.Transfer USDT to the RedotPay wallet and enjoy the card. ⬇️ Join Now: https://url.hk/i/en/jzy14
217 154
🔸 Full description 🔸
JavaScript is a scripting language of the web. As the web evolves from a static to a dynamic environment, technology focus is shifting from static markup and styling to dynamic interfaces and advanced interaction. Once seen as optional, JavaScript is now becoming an integral part of the web, infusing every layer with its script.This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills. Instructor Morten Rand-Hendriksen helps you build your understanding of JavaScript piece by piece, from core principles like variables, data types, conditionals, and functions through advanced topics including loops, and DOM scripting.
217 154
🔅 JavaScript Essential Training
🌐 Author: Morten Rand-Hendriksen
🔰 Level: Beginner
⏰ Duration: 5h 40m
🌀
Get hands-on experience scripting in JavaScript. Learn how to work with objects, variables, data types, conditionals, functions, loops, the DOM, and more.
📗 Topics: JavaScript
📤 Join @linkedin_learning for more courses217 154
🔸 Full description 🔸
Suggested prerequisites
Python Essential Training
Python for Data Science Essential Training
Python Essential Libraries
Projects
Build a baseline AutoGluon model to predict how long flights will be delayed using a flight-delay prediction dataset.
Using Azure Custom Vision, perform advanced training to build a model that can classify images of different African fashion styles.
Perform multi-class text classification on AG's news topic classification dataset using Hugging Face AutoTrain.
Join machine learning engineer Akintunde Oluwatobiloba Oladipo as he shows you how to build production-ready ML models quickly and accurately, using automation to optimize your workflows. Test out your new skills along the way with hands-on practice challenges. By the end of this course, youll be prepared to set bigger and bolder business objectives, using AutoML modeling tools as your analytic guide.
217 154
🔅 AutoML: Build Production-Ready Models Quickly!
🌐 Author: Akintunde Oluwatobiloba Oladipo
🔰 Level: Intermediate
⏰ Duration: 1h 44m
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Learn the basics of building production-ready automated machine learning (AutoML) models.
📗 Topics: Automated Machine Learning
📤 Join @linkedin_learning for more courses217 154
🔸 Full description 🔸
Do you want to grow your skills as a machine learning practitioner, but dont know where to begin? You dont need any formal training in data science to start working toward your goal. In this course, instructor Derek Jedamski shows you how to harness messy data, find signal in it, and build models that make powerful predictions with ensemble learners, one of the most common classes of machine learning algorithms.Review the basics of the machine learning pipeline to find out where ensemble learners sit within it. Learn about the underlying theory that drives ensemble learners, covering examples of ensemble learning in Python and then implementing models of your own. Explore concepts like boosting, bagging, and stacking, and how to use each and when. Get the tools you need to ramp up your predicting power and advance your machine learning skills today.
217 154
🔅 Applied Machine Learning: Ensemble Learning
🌐 Author: Derek Jedamski
🔰 Level: Intermediate
⏰ Duration: 2h 25m
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Explore how to make powerful, accurate predictions with ensemble learners, one of the most common classes of machine learning algorithms.
📗 Topics: Applied Machine Learning
📤 Join @linkedin_learning for more courses