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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

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📈 Аналитический обзор Telegram-канала PrepNPlaced

Канал PrepNPlaced (@dataanalyticsbuddy) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 27 549 подписчиков, занимая 6 962 место в категории Образование и 14 710 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 27 549 подписчиков.

Согласно последним данным от 30 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -615, а за последние 24 часа — -24, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.99%. В первые 24 часа после публикации контент обычно набирает 1.09% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 824 просмотров. В течение первых суток публикация набирает 300 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как analyst, sql, analytic, dashboard, roadmap.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
🚀 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 ...

Благодаря высокой частоте обновлений (последние данные получены 31 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

27 549
Подписчики
-2424 часа
-1487 дней
-61530 день
Архив постов
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 👍

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 ❤️

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 👍

🔥 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

Senior Business Analyst hiring Locations: Bangalore https://www.linkedin.com/posts/activity-7359197969302085632-OJbd

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 ❤️

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

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 👍

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 ❤️

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

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. 🙌 ☺

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 ❤

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 ☺️ ❤️

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