Linkedin Learning

Открыть в Telegram

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 217 182 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 217 182 подписчиков.

Согласно последним данным от 22 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 166, а за последние 24 часа — 15, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.10%. В первые 24 часа после публикации контент обычно набирает 1.31% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 15 413 просмотров. В течение первых суток публикация набирает 2 837 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 14.
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 23 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.

217 182

Подписчики

+1524 часа

+217 дней

+16630 день

15 413

Просмотры поста

~ 2 83724 часа

~ 4 50148 часов

7.10%

Коэффициент вовлеченности

~ 1

Постов в день

Ads index

beta

Архив постов

217 182

🔸 Full description 🔸 Although it was developed in the 1970s, Unix remains an essential skill for anyone working in technology today, and serves as the backbone of many modern technologies like smartphones, streaming services, and supercomputers. In Unix Essential Training, Kevin Skoglund teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands. Regardless of whether youre using Mac OS, Windows, or Linux, Kevin helps you unlock the powerful capabilities of Unix by walking you through how to use command-line syntax to perform common tasks such as file management, data entry, and text manipulation. By the end of the course, youll have tools that you can immediately apply to your own work.

217 182

🔅 Unix Essential Training 🌐 Author: Kevin Skoglund 🔰 Level: Intermediate ⏰ Duration: 2h 38m 🌀

This course teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands.

📗 Topics: Unix 📤 Join @linkedin_learning for more courses

217 182

hr.webp0.09 KB

217 182

🔅 JavaScript: Functions 🌐 Author: Ray Villalobos 🔰 Level: Intermediate ⏰ Duration: 1h 27m 🌀

Explore the different ways of declaring and invoking JavaScript functions, the hidden but powerful "subprograms" that power the backbone of your code.

📗 Topics: JavaScript 📤 Join @JavaScript_Trainings for more courses

217 182

hr.webp0.09 KB

217 182

📦 Exercice Files

217 182

Applied AI: Getting Started with Hugging Face Transformers @Linkedin_Learning

217 182

🔸 Full description 🔸 Using pretrained transformers for natural language processing (NLP) has become extremely popular among ML engineers and data scientists. If you work in the field, or even have a role adjacent to it, you need to stay apace with the latest innovative tools. In this course, instructor Kumaran Ponnambalam shows you how to take your AI skills to the next level using the repository of pretrained transformers available on the Hugging Face platform.Explore strategies to leverage transformers for various use cases to solve complex problems and deliver consistent, timely results. Kumaran shows you how to implement two simple NLP use cases—sentiment analysis and named entity recognition—utilizing pretrained transformers from Hugging Face and customizing them as you go. Upon completing this course, youll be prepared to apply your new AI skills to projects in your current or future role.

217 182

🔅 Applied AI: Getting Started with Hugging Face Transformers 🌐 Author: Kumaran Ponnambalam 🔰 Level: Intermediate ⏰ Duration: 1h 16m 🌀

Get up and running with pretrained transformers in Hugging Face, the popular platform for natural language processing (NLP) applications.

📗 Topics: Applied Machine Learning 📤 Join @linkedin_learning for more courses

217 182

hr.webp0.09 KB

217 182

They have got the skills to help you maximise your returns and minimise your risks.They offer a variety of investment options with competitive returns so you can choose the one that fits your goals and budget during trading. 🗳️Account management available 💯 Investment plan available ✅copy trading available 📶 Forex signal ✅ Don't miss it 👇👇👇 JOIN HERE https://t.me/unlimitedforexsigna https://t.me/+kMUEBgqod4kyYjg0 https://t.me/unlimitedforexsigna https://t.me/+kMUEBgqod4kyYjg0

217 182

👇📈 Pᴀɪᴅ ᴀᴅ WITH : https://telega.io/c/linkedin_learning

217 182

🔅 JavaScript: Best Practices for Functions and Classes 🌐 Author: Sasha Vodnik 🔰 Level: Intermediate ⏰ Duration: 1h 45m 🌀

Learn how to generate more consistent and easier-to-maintain JavaScript. Discover keys and tools to build better programs and to help improve code organization and quality.

📗 Topics: JavaScript 📤 Join @JavaScript_Trainings for more courses

217 182

hr.webp0.09 KB

217 182

📦 Exercice Files

217 182

Building Better Digital Habits for Focus and Well-being @Linkedin_Learning

217 182

🔸 Full description 🔸 In todays world, were constantly surrounded by screens and devices. For all their benefits, they can also have a negative effect on your focus, work, and general well-being. This course gives you an opportunity to audit your digital habits to determine what habits are serving you and what habits are leaving you feeling distracted and drained. Instructor Chris Flack guides you through the impact your digital habits have on your work performance and well-being—including the effects of being reactive to technology, task switching, information overload, and always-on culture. Chris explains ways to build habits to have a more proactive relationship with technology by being intentional about your working environment, reducing digital multitasking, building flow and focus, and simple tools that help build productive digital habits. Finally, learn how sleep, exercise, mindful practice, and work culture can help reinforce your new digital habits.

217 182

🔅 Building Better Digital Habits for Focus and Well-being 🌐 Author: Chris Flack 🔰 Level: General ⏰ Duration: 29m 🌀 Learn to build healthier digital habits in order to improve focus, work performance, and well-being. 📗 Topics: Wellness, Self Help 📤 Join @linkedin_learning for more courses

217 182

hr.webp0.09 KB

217 182

🔅 Advanced Python: Practical Database Examples 🌐 Author: Kathryn Hodge 🔰 Level: Advanced ⏰ Duration: 1h 48m 🌀 Level up as a Python developer working with databases in this advanced, skills-based course. 📗 Topics: Database Development, Python 📤 Join @python_trainings for more courses