متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Linkedin Learning
الذهاب إلى القناة على Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Linkedin Learning
تُعد قناة Linkedin Learning (@linkedin_learning) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 217 142 مشتركاً، محتلاً المرتبة 389 في فئة التعليم والمرتبة 717 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 217 142 مشتركاً.
بحسب آخر البيانات بتاريخ 21 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 210، وفي آخر 24 ساعة بمقدار -2، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.71%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.41% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 14 571 مشاهدة. وخلال اليوم الأول يجمع عادةً 3 053 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 13.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل author, linkedin, linux, javascript, 040k|.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 22 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
217 142
المشتركون
-224 ساعات
+27 أيام
+21030 أيام
أرشيف المشاركات
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.
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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