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Linkedin Learning

Linkedin Learning

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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

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📈 Аналитический обзор Telegram-канала Linkedin Learning

Канал Linkedin Learning (@linkedin_learning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 216 919 подписчиков, занимая 386 место в категории Образование и 721 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 216 919 подписчиков.

Согласно последним данным от 02 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -95, а за последние 24 часа — 83, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.82%. В первые 24 часа после публикации контент обычно набирает 1.87% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 14 787 просмотров. В течение первых суток публикация набирает 4 053 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 12.
  • 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 03 июля, 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.

216 919
Подписчики
+8324 часа
-2627 дней
-9530 день
Архив постов
🔰 Advanced NLP with Python for Machine Learning 🎟2020-08-10 • ⏱2h 14m • 💡Advanced 🗣 Derek Jedamski Build upon your founda
🔰 Advanced NLP with Python for Machine Learning 🎟2020-08-10 • ⏱2h 14m • 💡Advanced 🗣 Derek Jedamski Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks. 📦 Topics: Natural Language Processing, Machine Learning, Python LinkedIn Learning

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📦 Exercice Files

Connecting with Your Audience Using Video @Linkedin_Learning

📁 Full description Learn about the power of video and how to use it to develop a strong online presence and connect with an audience. Appearing authentic on camera doesn’t come naturally to everyone, but there are techniques you can practice to become comfortable on camera. Instructor Jaime Cohen walks you through how to use video to create an effective online presence, how to become comfortable on camera, and how to connect with your audience. Jaime covers both the technical and performance aspects of cultivating a unique personal brand online through video.

🔰 Connecting with Your Audience Using Video 🎟2019-12-19 • ⏱36m • 💡General 🗣 Jaime Cohen Learn about how to gain confidenc
🔰 Connecting with Your Audience Using Video 🎟2019-12-19 • ⏱36m • 💡General 🗣 Jaime Cohen Learn about how to gain confidence on video and tell your story effectively—two essential skills to build a strong online presence and turn your audience into a thriving community. 📦 Topics: Personal Branding, On-camera Experience, Online Video Production LinkedIn Learning

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CRISC Cert Prep: 2 IT Risk Assessment @Linkedin_Learning

📁 Full description The Certified in Risk and Information Control (CRISC) certification is an established, well-recognized credential from ISACA. A CRISC certification shows employers that you understand how to identify and manage IT risk in an enterprise and that you’re capable of implementing and maintaining the controls necessary to address risks. This series of courses explains the four IT risk management domains. In this course, instructor Jerod Brennen focuses on IT Risk Assessment. Jerod covers risk assessment fundamentals, then goes into how to determine risk rankings. He goes over methods to analyze risk scenarios for your organizational structure, policies, technology, architecture, and more. Jerod discusses how to analyze the effectiveness of your current controls, including leveraging assessments and performing gap analysis. Jerod concludes with useful advice on communicating your risk assessment results and updating your risk register.

🔰 CRISC Cert Prep: 2 IT Risk Assessment 🎟2021-07-21 • ⏱1h 50m • 💡Intermediate 🗣 Jerod Brennen Learn about IT risk assessm
🔰 CRISC Cert Prep: 2 IT Risk Assessment 🎟2021-07-21 • ⏱1h 50m • 💡Intermediate 🗣 Jerod Brennen Learn about IT risk assessment, one of the four IT risk management domains, and continue your preparations for the CRISC certification exam. 📦 Topics: IT Risk Management, Risk Assessment LinkedIn Learning

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🧿 🔥 A new Course has been added to the channel @zero_to_mastery.

📦 Exercice Files

Machine Learning with Data Reduction in Excel, R, and Power BI @Linkedin_Learning

🔰 Machine Learning with Data Reduction in Excel, R, and Power BI 🎟2022-02-09 • ⏱3h 32m • 💡Intermediate 🗣 Helen Wall Analy
🔰 Machine Learning with Data Reduction in Excel, R, and Power BI 🎟2022-02-09 • ⏱3h 32m • 💡Intermediate 🗣 Helen Wall Analytics is a big part of how the world does data science. But did you know that you can use applications like Excel, R, and Power BI for high-dimensional data reduction with machine learning models and algorithms? In this course, instructor Helen Wall gives you an overview of machine learning and data reduction techniques that enable you to analyze large datasets and determine trends with a variety of different classifications. Learn about machine learning models like clusters and anomaly detection algorithms. Find out more about distance, dimensionality, and granularity, as you explore dimensional and numerical data reduction techniques, analytic models, and visualization tools in Excel, R, and Power BI. Along the way, get tips on how to integrate your methods so you can scale them for sharing with a wider audience. 📦 Topics: Machine Learning, Data Reduction LinkedIn Learning

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🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is
🔰 100 Days of Code – The Complete Python Pro Bootcamp for 2022 ⏱ 60 Hours 📦 230 Lessons At 56+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps! Taught By: Dr. Angela Yu Download Full Course: https://t.me/+xQje4t_JCfI1N2Nk Download All Courses: https://t.me/zero_to_mastery

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🧿 🔥 A new Course has been added to the channel @zero_to_mastery.

Creating Safe Spaces for Tough Conversations at Work @Linkedin_Learning