متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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🚀 Welcome to the Elite Data Engineering & Agentic AI Hub! 🚀 👑 Community Creator: Mandar Patil 👨💻 Admin & Mentor: Durgesh Yadav The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst roles
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Prepnplaced.com
تُعد قناة Prepnplaced.com (@dataanalyticsbuddy) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 29 225 مشتركاً، محتلاً المرتبة 6 678 في فئة التعليم والمرتبة 14 749 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 29 225 مشتركاً.
بحسب آخر البيانات بتاريخ 15 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -1 010، وفي آخر 24 ساعة بمقدار -70، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.44%. 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 1 590 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل analyst, sql, analytic, dashboard, roadmap.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🚀 Welcome to the Elite Data Engineering & Agentic AI Hub! 🚀
👑 Community Creator: Mandar Patil
👨💻 Admin & Mentor: Durgesh Yadav
The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst ...”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 16 يونيو, 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
-7024 ساعات
-1907 أيام
-1 01030 أيام
أرشيف المشاركات
29 225
Educative’s 30-Day Coding Challenge is LIVE.
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Citi hiring Data Analyst
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🔥 Ready to step into the world of Big Data?
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Everyone do checkout above post, today I've shared 16+ opportunities especially for fresher and entry level from various top companies which are looking for data analytics domains candidates.
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Google is hiring Data Analyst!!
EY and many other companies are hiring!!
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📢 FREE Webinar Alert!
Join me for the 1st session of my Big Data Webinar Series:
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📅 20 Sept 2025 | 10:30 PM IST
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*Complete SQL Playlist 🎥to crack a Product based Company is dropped on my Youtube▶️ Channel from Scratch*
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Regards,
Durgesh Yadav
Admin
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Data Analyst hiring
Location: Navi Mumbai
https://www.linkedin.com/posts/shalini-jagdish-9606818_fitterly-jobhiring-dataanalyst-activity-7373259115755835392-K9LR
29 225
PwC hiring Business Analyst
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29 225
When was the last time an ad told you the truth
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*Complete SQL Playlist 🎥to crack a Product based Company is dropped on my Youtube▶️ Channel from Scratch*
*100% 😀 SQL is covered and I can Promise nobody can teach you SQL Better than this*
Link to Playlist - https://youtube.com/playlist?list=PLk2MHzhTpucEEY7dybJlDr2Cz069n1hN9&si=OredHv9JS7sSNyih
*Do Like & Subscribe & Follow me on Linkedin*
Link to Linkedin Profile - https://www.linkedin.com/in/yadavdurgesh711
Regards,
Durgesh Yadav
Admin
29 225
Pickl.AI is hiring! – Data Science Instructor
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Experience: 2+ Years
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29 225
American Express hiring Data Analytics
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SQL Basic and Advanced Notes 🔥
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If you thought marketing was all about digital… Flipkart just gave a reality check.
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Enroll fast few seats left
📢 SQL Course Announcement (6 Students in 1 Batch)
📅 Starting From: September 20, 2025
⏰ Timings: As per all 6 students
🕒 Duration: 1.5 Months
Cost :- 5000 INR or 57 USD
📚 Course Outline
Section 1: Introduction to SQL
Section 2: Basic SQL Syntax
Section 3: Insert, Delete, and Update Statements
Section 4: SELECT, WHERE, and ORDER BY Clauses
Section 5: Aggregating Data
Section 6: Built-in Functions (String/Date)
Section 7: CASE WHEN, Set Operators
Section 8: Joins (Inner, Left, Right, Outer)
Section 9: Advanced Joins: Self, Natural, and Multi-Table Joins
Section 10: SET Operations (UNION, UNION ALL, INTERSECT, EXCEPT)
Section 11: Advanced Joins and Table Operations
Section 12: Common Table Expressions (CTEs)
Section 13: Subqueries
Section 14: Advanced Window Functions and Analytic Queries
Section 15: Stored Procedures
Section 16: Views
Section 17: Temp Tables
Section 18: Query Optimisation
Section 19: Connecting Multiple Databases Together
Section 20: Recursive CTE
Section 21: Pivot
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Moody's Corporation hiring Analyst
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👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46
👉Telegram Link: https://t.me/dataanalyticsbuddy
Like for more such updates ❤️
All the best 👍
29 225
Apple hiring Data Engineer
https://www.linkedin.com/posts/activity-7372889573590257664-Dx7u
