متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Coding Vision
الذهاب إلى القناة على Telegram
𝙶𝚛𝚎𝚎𝚝𝚒𝚗𝚐 𝙵𝚛𝚘𝚖 𝙲𝚘𝚍𝚒𝚗𝚐𝚅𝚒𝚜𝚒𝚘𝚗𝚜 🎯 🔔 Turn on notifications for an epic coding journey! 💡
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Coding Vision
تُعد قناة Coding Vision (@codingvisions) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 19 191 مشتركاً، محتلاً المرتبة 6 992 في فئة التكنولوجيات والتطبيقات والمرتبة 23 177 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 19 191 مشتركاً.
بحسب آخر البيانات بتاريخ 05 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -230، وفي آخر 24 ساعة بمقدار -15، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 10.61%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 038 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 4.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل engineer, learntube, developer, sql, analyst.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“𝙶𝚛𝚎𝚎𝚝𝚒𝚗𝚐 𝙵𝚛𝚘𝚖 𝙲𝚘𝚍𝚒𝚗𝚐𝚅𝚒𝚜𝚒𝚘𝚗𝚜 🎯
🔔 Turn on notifications for an epic coding journey! 💡”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 07 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
19 191
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-23030 أيام
أرشيف المشاركات
19 191
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19 191
🚀 Become a Certified Data Engineer with Learntube backed by Google just in ₹399/-
(Join 2860+ Students)
📘 What You'll Learn:
✅ Data Modeling & Warehousing
✅ ETL, Data Pipelines & Big Data Technologies
✅ Cloud Data Engineering (AWS, Azure, GCP)
✅ Data Governance, Security & Visualization
✨ What You Get:
✔️ 15+ Hours of Content
✔️ 4 Hands-on Projects
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✅ No Experience Needed – Perfect for Beginners
✅ Real Projects: Predictive Analytics, Fraud Detection & More
📘 What You’ll Learn:
🔹 Data Visualization (Tableau, Power BI)
🔹 Machine Learning Basics
🔹 Big Data Tools (Hadoop, Spark)
🔹 Python, R, SQL, Excel
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