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📈 نظرة تحليلية على قناة تيليجرام Data Science
تُعد قناة Data Science (@sql_databases) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 70 803 مشتركاً، محتلاً المرتبة 2 261 في فئة التعليم والمرتبة 4 562 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 70 803 مشتركاً.
بحسب آخر البيانات بتاريخ 26 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -310، وفي آخر 24 ساعة بمقدار -15، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 11.21%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.74% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 7 934 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 943 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 27 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
70 803
المشتركون
-1524 ساعات
-1277 أيام
-31030 أيام
أرشيف المشاركات
70 790
📂 Full description
Data analysis isnt just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, Barton Poulson focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems. Barton covers how to prepare and adapt data, explore it visually, and use statistical methods to describe it. He goes in depth on probability and interference and also touches on data ethics and explainable AI.
70 790
🔅 Data Literacy: Exploring and Describing Data
🌐 Author: Barton Poulson
🔰 Level: Beginner
⏰ Duration: 5h 14m
🌀 Learn the fundamentals of data fluency and how data can help you make better decisions.📗 Topics: Data Science 📤 Join Data Analysis for more courses
70 790
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70 790
📂 Full description
Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills. This course is part of a Professional Certificate from Microsoft.
70 790
🔅 Learning Data Analytics: 1 Foundations
🌐 Author: Robin Hunt
🔰 Level: Beginner
⏰ Duration: 3h 29m
🌀 This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?📗 Topics: Data Analytics 📤 Join Data Analysis for more courses
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🔰 2hrs on top & 8hrs in channel!
