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Data Analytics

Data Analytics

الذهاب إلى القناة على Telegram

Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Data Analytics

تُعد قناة Data Analytics (@dataanalyticsx) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 29 023 مشتركاً، محتلاً المرتبة 4 713 في فئة التكنولوجيات والتطبيقات والمرتبة 22 707 في منطقة روسيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 29 023 مشتركاً.

بحسب آخر البيانات بتاريخ 18 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 521، وفي آخر 24 ساعة بمقدار 8، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.83‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.16‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 822 مشاهدة. وخلال اليوم الأول يجمع عادةً 338 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل sellerflash, buybox, buyer, chaos, effortless.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. Admin: @HusseinSheikho || @Hussein_Sheikho

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 19 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

29 023
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+817 أيام
+52130 أيام
أرشيف المشاركات
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Python for OOP: The A-to-Z OOP Python Programming Course https://shts.me/Bsbkz
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Data Science and Machine Learning Basic to Advanced https://shts.me/pWsO
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📚 Generative Adversarial Networks and Deep Learning (2023) 🔗 Download Link: https://shts.me/uFRAp 💬 Tags: #GAN ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

📚 An Introduction to Data Science (2022) 🔗 Download Link: https://shts.me/CXLs 💬 Tags: #datascience ✳️ Please React ♥️, Sh
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FREE Udacity Courses on Data Analytics, SQL & Data Visualization Are you looking for FREE Courses on Data Analytics, SQL & Da
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We ask you, when an advertising message appears that contains a join button, to click on this button and visit the link that contains an advertised channel - this is one of the types of free support that can be provided by all members of the channel. We hope to participate extensively through this support, and we promise you that the day we have advertising campaigns of this kind, we will publish books for free in the form of PDF files Only you are required to participate in these campaigns.

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📚 Generative Deep Learning (2023) 🔗 Download Link: https://shts.me/xoy2k 💬 Tags: #DEEPLEARNING ✳️ Please React ♥️, Share ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

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📚 Python Projects for Everyone (2023) 🔗 Download Link: https://shts.me/kYNwj 💬 Tags: #python ✳️ Please React ♥️, Share ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023

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An important collection of the 15 best machine learning cheat sheets. مجموعة مهمة الافضل ١٥ ورقة غش في مجال التعلم الآلي. 1- Supervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf 2- Unsupervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf 3- Deep Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf 4- Machine Learning Tips and Tricks https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf 5- Probabilities and Statistics https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf 6- Comprehensive Stanford Master Cheat Sheet https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf 7- Linear Algebra and Calculus https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf 8- Data Science Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf 9- Keras Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf 10- Deep Learning with Keras Cheat Sheet https://github.com/rstudio/cheatsheets/raw/master/keras.pdf 11- Visual Guide to Neural Network Infrastructures http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png 12- Skicit-Learn Python Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf 13- Scikit-learn Cheat Sheet: Choosing the Right Estimator https://scikit-learn.org/stable/tutorial/machine_learning_map/ 14- Tensorflow Cheat Sheet https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf 15- Machine Learning Test Cheat Sheet https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/ ✳️ Please React ♥️, Share ✅ By: @DataScience_Books - @DataScience4 - @EBooks2023