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 217 029 مشتركاً، محتلاً المرتبة 387 في فئة التعليم والمرتبة 715 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 217 029 مشتركاً.

بحسب آخر البيانات بتاريخ 05 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 29، وفي آخر 24 ساعة بمقدار 36، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.24‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.83‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 13 541 مشاهدة. وخلال اليوم الأول يجمع عادةً 3 968 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 16.
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 06 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

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المشتركون

+3624 ساعات

+1157 أيام

+2930 أيام

13 541

عرض المشاهدات

~ 3 96824 ساعات

~ 5 25848 ساعات

6.24%

معدل المشاركة

لا توجد بيانات

المشاركات في اليوم

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📦 Exercice Files

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The Five-Step Creative Process.zip130.39 MB

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📁 Full description The creative process isn't just generating ideas. The reality is it's a five-step process, and ideation is only one of those steps. The entire creative process is made up of objective finding, data gathering, problem design, ideation, and selection. Understanding the role of each step enables us to ensure that we generate the most effective solutions. In this course, Stefan Mumaw guides you through the five steps and then shows what the complete process looks like, with a real-world project: designing a website.

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🔰 The Five-Step Creative Process 🎟2014-12-18 • ⏱19m • 💡Beginner 🗣 Stefan Mumaw Don't just generate a list of ideas. Follow this five-step process and make sure you are developing the most effective solutions for your creative challenges. 📦 Topics: Creative Process Development LinkedIn Learning

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📦 Exercice Files

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From Excel to Tableau.zip216.21 MB

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📁 Full description Making the switch from manipulating your data and insights in Microsoft Excel to Tableau can feel like a daunting task, but this transition doesn't need to be daunting. In this course, data visualization expert Heather Johnson guides you through the process of moving from Excel over to Tableau. First, Heather covers the basics of using the Tableau desktop application and connecting your Excel data source with Tableau. Then, she walks through the steps of creating the data worksheets you'll need to visualize the data. Finally, Heather shares her tips for creating dashboards in Tableau. You'll finish this course feeling prepared to get started using Tableau.

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🔰 From Excel to Tableau 🎟2021-09-09 • ⏱1h 32m • 💡Intermediate 🗣 Heather Johnson Make the leap from Microsoft Excel to Tableau. Tune into this course to learn how to connect your data, create trend charts, build out dashboards, and more. 📦 Topics: Tableau LinkedIn Learning

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Applied AI for Human Resources.zip134.65 MB

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📁 Full description A global economy and remote workforce have made it difficult for HR departments to track employee satisfaction and motivation. However, using artificial intelligence, data scientists and engineers can now generate powerful insights to improve hiring, training, retention, and more. This course explores the ways AI and big data can help HR. Examine three key use cases in the human resources world: predicting employee attrition, mapping collaboration, and creating training recommendations. For each of these use cases, instructor Kumaran Ponnambalam collects and processes data, builds machine learning models, and predicts key outcomes using tools like Python, Jupyter Notebooks, TensorFlow, and Keras. He also briefly explains how to design models to perform other common HR tasks, such as predicting future performance, screening candidates, and even tracking morale. The course concludes with some best practices, including addressing security and privacy concerns particular to HR.

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🔰 Applied AI for Human Resources 🎟2020-08-05 • ⏱1h 3m • 💡Intermediate 🗣 Kumaran Ponnambalam Learn how to use AI to solve common HR challenges, such as recommending training and screening candidates, and to improve employee hiring, satisfaction, and retention. 📦 Topics: Human Resources, Workforce Management, Artificial Intelligence LinkedIn Learning

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Ideas That Resonate.zip253.45 MB