ru
Feedback
Linkedin Learning

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 217 232 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 217 232 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.

217 232
Подписчики
+1524 часа
+217 дней
+16630 день
Архив постов
GPT-4 Foundations: Building AI-Powered Apps @Linkedin_Learning

🔸 Full description 🔸 Are you looking for a practical, simple, visual introduction to creating an AI-powered application? This course was designed for you. While GPT-4 has piqued much of the worlds attention, few people have developed the skills required to build their own AI-powered tools. Join instructor Denys Linkov to find out more about how to get started building AI-powered applications using GPT-4. In this course, Denys offers a comprehensive overview of the OpenAI playground, including the basics of large language models and prompts. Get tips for beginner, intermediate, and advanced prompting to start creating a no-code chatbot on your own. Along the way, test out your new skills in the challenge exercises provided at the end of each section of the course.

🔅 GPT-4 Foundations: Building AI-Powered Apps 🌐 Author: Denys Linkov 🔰 Level: Beginner ⏰ Duration: 1h 2m 🌀 Learn the basi
🔅 GPT-4 Foundations: Building AI-Powered Apps 🌐 Author: Denys Linkov 🔰 Level: BeginnerDuration: 1h 2m 🌀 Learn the basics of prompting and connecting prompts together to build a small application with GPT-4. 📗 Topics: GPT-4, Generative AI, Artificial Intelligence 📤 Join @linkedin_learning for more courses

hr.webp0.09 KB

🔅 Python Statistics Essential Training 🌐 Author: Matt Harrison 🔰 Level: Advanced ⏰ Duration: 2h 39m 🌀 Learn to use Python
🔅 Python Statistics Essential Training 🌐 Author: Matt Harrison 🔰 Level: AdvancedDuration: 2h 39m 🌀 Learn to use Python to unlock the power of data and use it to inform decisions. 📗 Topics: Statistics, Python 📤 Join @python_trainings for more courses

hr.webp0.09 KB

📦 Exercice Files

Programming Foundations: Beyond the Fundamentals @Linkedin_Learning

🔸 Full description 🔸 Suggested Prerequisites Be familiar with variables, functions, and conditional logic. Watch the Programming Foundations: Fundamentals course if you want to understand the syntax for basic Python commands. Be sure to install any version of Python that starts with a “3.” Python 3.8.0 is used in the course. Use any code editor. Visual Studio Code is used in the course. Projects Perform various tasks with a collection that has two groups of variables, such as creating a dictionary. Create a for loop by printing the names of different fruits in the terminal each on a separate line. Take a value, convert it, and print the result to the terminal with a text description using string concatenation. Find and fix some errors in Python code, including syntax, runtime, and logic errors. Continue your coding journey as you dive deeper into the foundational concepts, practices, and terminology of programming. In this installment of the Programming Foundations series, instructor Sasha Vodnik goes beyond the basics, using Python to tackle a variety of intermediate and advanced concepts and skills you can add to your programming repertoire.

🔅 Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik 🔰 Level: Beginner ⏰ Duration: 2h 4m 🌀 Dive deep
🔅 Programming Foundations: Beyond the Fundamentals 🌐 Author: Sasha Vodnik 🔰 Level: BeginnerDuration: 2h 4m 🌀 Dive deeper into the foundational concepts, practices, and terminology of programming. Learn how to work with collections, use external code, find and fix bugs, and more. 📗 Topics: Programming 📤 Join @linkedin_learning for more courses

hr.webp0.09 KB

❗️Don't buy stocks, bonds or gold if you need your money. At this very moment, crypto market is set for a rally and you are r
❗️Don't buy stocks, bonds or gold if you need your money. At this very moment, crypto market is set for a rally and you are risking to miss it. Boarding is about to finish – this is the last call. Follow reputable crypto traders like CRYPTON. This invite is limited to 20 users only, use it now – https://t.me/+lBz9uViWNycwNmY0

AI tool in your pocket. Most popular AI service has appeared in the Telegram — this is a 100% analogue of Midjourney. Every d
AI tool in your pocket. Most popular AI service has appeared in the Telegram — this is a 100% analogue of Midjourney. Every day, based on user requests, it creates millions of pictures for every taste. And the guys from Pixy transferred it to a coolest telegram bot. Click and try it for free ⤵️  ➡️ GET ACCESS FOR FREE ⬅️

🚨 720% – average upside of ERC20 tokens when added to CEX. Did you miss on PEPE, BALD and APE? Not your fault, you just didn
🚨 720% – average upside of ERC20 tokens when added to CEX. Did you miss on PEPE, BALD and APE? Not your fault, you just didn't have the info. Market presents new oppottunities every day, follow professionals like DON CRYPTON to be aware of it. Limited to 20 users only – https://t.me/+2XRi3V7RpQw5OWI0

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

📦 Exercice Files

Excel Formulas and Functions Quick Tips @Linkedin_Learning

🔸 Full description 🔸 The myriad formulas and functions in Excel are a large part of what makes it such a uniquely powerful program. But for many users, figuring out how to apply these formulas and functions to solve everyday problems can seem overwhelming. In this course, staff instructor Jess Stratton demystifies these powerful features, sharing bite-sized tips designed to help you work faster and more efficiently in Excel. Jess begins by covering the fundamental concepts you need to get started with functions and formulas, such as how to programmatically reference cells located in other worksheets and combine cell data with other characters. She goes over identifying values, then digs into a variety of useful Excel functions. Jess highlights how to count cells that meet a specific set of criteria using COUNTIF, extract characters with LEFT and RIGHT, use INDEX and MATCH to retrieve a value, and much more.

🔅 Excel Formulas and Functions Quick Tips 🌐 Author: Jess Stratton 🔰 Level: General ⏰ Duration: 35m 🌀 These bite-sized tip
🔅 Excel Formulas and Functions Quick Tips 🌐 Author: Jess Stratton 🔰 Level: GeneralDuration: 35m 🌀 These bite-sized tips will help you learn how to use Excel's most common functions and formulas. 📗 Topics: Microsoft Excel 📤 Join @linkedin_learning for more courses

hr.webp0.09 KB

Linkedin Learning - Статистика и аналитика Telegram-канала @linkedin_learning