PrepNPlaced
الذهاب إلى القناة على Telegram
🚀 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
تُعد قناة PrepNPlaced (@dataanalyticsbuddy) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 27 549 مشتركاً، محتلاً المرتبة 6 962 في فئة التعليم والمرتبة 14 710 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 27 549 مشتركاً.
بحسب آخر البيانات بتاريخ 30 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -615، وفي آخر 24 ساعة بمقدار -24، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.99%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.09% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 824 مشاهدة. وخلال اليوم الأول يجمع عادةً 300 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 31 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
27 549
المشتركون
-2424 ساعات
-1487 أيام
-61530 أيام
أرشيف المشاركات
27 542
American Express hiring Data Analyst
https://in.linkedin.com/jobs/view/analyst-data-analytics-at-american-express-4280921675
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46
👉Telegram Link: https://t.me/dataanalyticsbuddy
Like for more such updates ❤️
All the best 👍
27 542
Crashed Your SQL Interview? You're Not Alone.
💡 The SQL Interview Survival Guide They Don’t Teach You in Tutorials
I thought I was ready.
I had practiced 100+ SQL queries.
I had color-coded notes for every clause.
Then came the first question in my Data Analyst interview:
“𝗙𝗶𝗻𝗱 𝘁𝗵𝗲 𝘀𝗲𝗰𝗼𝗻𝗱 𝗵𝗶𝗴𝗵𝗲𝘀𝘁 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗺𝗼𝘂𝗻𝘁…
𝗯𝘂𝘁 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘂𝘀𝗶𝗻𝗴 𝗟𝗜𝗠𝗜𝗧, 𝗧𝗢𝗣, 𝗼𝗿 𝘀𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀.”
My mind? Empty.
My confidence? Gone.
My coffee? Cold.
That day, I realised something:
📌 You don’t fail SQL interviews because you don’t know SQL — you fail because you’re not prepared for how SQL gets tested.
So I built this SQL Interview Playbook to fix that ⬇️
https://www.linkedin.com/posts/mandarmpatil_boost-your-sql-skills-with-this-free-100-activity-7360139079071469568-_8M9
Give it a LIKE for better reach & do share with others ❤️
27 542
Infosys hiring Datastage developer
https://in.linkedin.com/jobs/view/datastage-developer-at-infosys-4261599435
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46
👉Telegram Link: https://t.me/dataanalyticsbuddy
Like for more such updates ❤️
All the best 👍
27 542
🔥 Become a Job-Ready Data Analyst – From Scratch
Want to land your first Data Analyst job with complete confidence?
This all-in-one course is made just for you – beginner-friendly, hands-on, and industry-focused. *For people who want to learn at affordable cost*
💰 Flash Sale Price: 299 INR Only (Previous Price:4999 )
✅ 100% Practical | 🎯 Real Projects | 🎁 Limited-Time Offer
👉 *Enroll Now Valid only for last 1 Hour* - https://topmate.io/durgesh_yadav/1207145
📦 What’s Included
✅ Excel – Data cleaning, formulas, dashboards
✅ Power BI – Visual dashboards, DAX, reporting
✅ Python – Data handling, Pandas, NumPy, EDA
✅ SQL – Joins, subqueries, window functions, optimization
✅ Real Projects – Build your portfolio with hands-on exercises
✅ Interview PDFs – 100+ real company questions
✅ Roadmaps – Guided path for SQL & Python mastery
✅ Resume Template – ATS-friendly professional format
🎥 Demo Lectures
Take a sneak peek before you enroll:
🔗 Python Demo Lecture: https://drive.google.com/file/d/1MFLSAibFOwLjjAG2H41TpIbWf8fgQnmK/view?usp=drivesdk
🔗 SQL Demo Lecture: https://drive.google.com/file/d/1TMzrV2JmpSjrVsiOB-TovUswdwxURJSz/view?usp=drivesdk
🎯 Whether you're starting from zero or switching careers — this is your shortcut to a Data Analyst job with confidence and clarity
27 542
Senior Business Analyst hiring
Locations: Bangalore
https://www.linkedin.com/posts/activity-7359197969302085632-OJbd
27 542
Struggling to revise SQL before your interview? You're not alone.
I remember the night before my first Data Analyst interview.
→ Eyes glued to the screen.
→ Tabs open with 100+ SQL queries.
→ Mind? Completely blank.
All I could think was:
“How am I supposed to remember everything?”
Turns out, I didn’t need to.
→ Most interviewers don’t care if you know obscure SQL functions.
→ They want to know if you can think logically and apply core SQL concepts under pressure.
That’s it.
💡 That’s why I built this SQL Quick Revision Sheet
https://www.linkedin.com/posts/mandarmpatil_boost-your-sql-skills-with-this-free-100-activity-7359776692376104961-gI4R
Give it a LIKE for better reach & do share with others ❤️
27 542
Data Science Intern hiring
Location: Remote
https://www.linkedin.com/posts/akansha-rawat-7b27b4212_datascience-machinelearning-ingrade-activity-7359114530905341952-NmnJ
27 542
25 Students Only
Learn SQL for Data analyst , Business Analyst , Product Analyst , Data Engineer , Data scientist End to End
Enroll now :-https://topmate.io/lets_connect_with_pragya/1471787
Demo Session :-
https://drive.google.com/drive/folders/1Fo_XYBUnpc33bN8SfpIHUc_AA0sW-H60?usp=drive_link
Starting from :-20 August ,2025
Monday ,Tuesday,Wednesday,Thursday
Time :- 8:00 to 9:00 PM IST
Duration :- 1 month
SQL 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 and SQL optimization
Section 16: Views , Temp Table etc
For any issue contact
+91 6396569313
27 542
27 542
American Express hiring Data Analyst
https://in.linkedin.com/jobs/view/analyst-data-analytics-at-american-express-4280921675
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46
👉Telegram Link: https://t.me/dataanalyticsbuddy
Like for more such updates ❤️
All the best 👍
27 542
How CoinDCX turned a newspaper into a scroll-stopping moment
https://www.linkedin.com/posts/mandarmpatil_2croreoncoindcx-activity-7359410535521513476-yaOw
Give it a LIKE for better reach & do share with others ❤️
27 542
25 Students Only
Learn SQL for Data analyst , Business Analyst , Product Analyst , Data Engineer , Data scientist End to End
Enroll now :-https://topmate.io/lets_connect_with_pragya/1471787
Demo Session :-
https://drive.google.com/drive/folders/1Fo_XYBUnpc33bN8SfpIHUc_AA0sW-H60?usp=drive_link
Starting from :-20 August ,2025
Monday ,Tuesday,Wednesday,Thursday
Time :- 8:00 to 9:00 PM IST
Duration :- 1 month
SQL 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 and SQL optimization
Section 16: Views , Temp Table etc
For any issue contact
+91 6396569313
27 542
Everyone do checkout this post, today I've shared 14+ opportunities especially for fresher and entry level from various top companies which are looking for data analytics domains candidates.
Don't forget to tag and share with others who are looking for the same and try to apply as soon as possible before hirings stop taking further responses. 🙌 ☺
27 542
Amazon is hiring fresher Business Analyst!!
EY and many other companies are hiring!!
https://www.linkedin.com/posts/mandarmpatil_dataanalyticsjobs-entryleveljobs-fresher-activity-7359218012173889536-c4pi
Give it a LIKE for better reach & do share with others ❤
27 542
For existing and new followers of this channel, please react with a '👍' or '♥️' for the job postings that you're applying for the openings posted in this channel.
This gives me an idea of the number of relevant postings for this channel members! So that I can post more similar opportunities ✌️
All the best for your career ☺️ ❤️
27 542
Orcapod hiring Microsoft Power Bi Developer
https://www.naukri.com/job-listings-microsoft-power-bi-developer-contract-role-orcapod-consulting-services-hyderabad-chennai-bengaluru-5-to-8-years-110725031080
👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46
👉Telegram Link: https://t.me/dataanalyticsbuddy
Like for more such updates ❤️
All the best 👍
27 542
25 Students Only
Learn SQL for Data analyst , Business Analyst , Product Analyst , Data Engineer , Data scientist End to End
Enroll now :-https://topmate.io/lets_connect_with_pragya/1471787
Demo Session :-
https://drive.google.com/drive/folders/1Fo_XYBUnpc33bN8SfpIHUc_AA0sW-H60?usp=drive_link
Starting from :-20 August ,2025
Monday ,Tuesday,Wednesday,Thursday
Time :- 8:00 to 9:00 PM IST
Duration :- 1 month
SQL 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 and SQL optimization
Section 16: Views , Temp Table etc
For any issue contact
+91 639656931
27 542
BitGo hiring Data Scientist and Associate Data Scientist
https://www.linkedin.com/posts/asha-venkataswamy_datascience-hiring-associatedatascientist-activity-7358458865614508032-RT2y
