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Data Science

Data Science

الذهاب إلى القناة على Telegram

Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

إظهار المزيد
الهند4 764التعليم2 273

📈 نظرة تحليلية على قناة تيليجرام Data Science

تُعد قناة Data Science (@sql_databases) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 71 042 مشتركاً، محتلاً المرتبة 2 273 في فئة التعليم والمرتبة 4 764 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 71 042 مشتركاً.

بحسب آخر البيانات بتاريخ 05 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -54، وفي آخر 24 ساعة بمقدار 6، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 12.21‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.97‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 8 672 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 110 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل database, learning, linkedin, udemy, 029k|.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases”

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 التعليم.

71 042
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📖 SQL Cheat Sheet
📖 SQL Cheat Sheet

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Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leadi
Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

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Advanced SQL Concepts 💥📌 Access Full Pdfs Materials From Telegram In Bio 🚀 Stay tuned for more tips.
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Advanced SQL Concepts 💥📌 Access Full Pdfs Materials From Telegram In Bio 🚀 Stay tuned for more tips.

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📖 SQL Chart

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📖 14 Uses of Data Science

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🥇 This repo is like gold for every data scientist! ✅ Just open your browser; a ton of interactive exercises and real experiences await you. Any question about statistics, probability, Python, or machine learning, you'll get the answer right there! With code, charts, even animations. This way, you don't waste time, and what you learn really sticks in your mind! ⬅️ Data science statistics and probability topics ⬅️ Clustering ⬅️ Principal Component Analysis (PCA) ⬅️ Bagging and Boosting techniques ⬅️ Linear regression ⬅️ Neural networks and more... ┌ 📂 Int Data Science Python Dash └ 🐱 GitHub-Repos

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📦 Exercise Files

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📂 Full description In this course, Lachezar Arabadzhiev provides an introduction to the world of data visualization using Canva and Flourish, and explains why visualization is critical to the big picture of product design. Lachezar shows you: how Canva's tools can be leveraged for data sharing and storytelling; how Flourish can add richness and context to data visualization; the key types of data visualization for designers and product teams; how to build a story around your data that gives the bigger context; and how to structure your narrative to reach the right audience. Whether youre a designer, creative, marketing pro to convey rich stories to accompany your data analysis, or an experienced Canva user who wants to be more prolific in business scenarios, check out this course to get started creating data visualizations.

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🔅 Data Visualization with Canva and Flourish 🌐 Author: Lachezar Arabadzhiev 🔰 Level: Beginner + Intermediate ⏰ Duration: 3
🔅 Data Visualization with Canva and Flourish 🌐 Author: Lachezar Arabadzhiev 🔰 Level: Beginner + Intermediate ⏰ Duration: 30m
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📗 Topics: Data Visualization, Canva 📤 Join Data Analysis for more courses

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