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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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📈 Análisis del canal de Telegram Prepnplaced.com

El canal Prepnplaced.com (@dataanalyticsbuddy) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 28 977 suscriptores, ocupando la posición 6 671 en la categoría Educación y el puesto 14 352 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 977 suscriptores.

Según los últimos datos del 27 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -715, y en las últimas 24 horas de -29, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.40%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.84% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 276 visualizaciones. En el primer día suele acumular 243 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
  • Intereses temáticos: El contenido se centra en temas clave como analyst, sql, analytic, dashboard, roadmap.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
🚀 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 ...

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 28 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

28 977
Suscriptores
-2924 horas
-1627 días
-71530 días
Archivo de publicaciones
Internship Opportunity Company – DeepThought Edutech Ventures Private Limited Role – Data Analytics Internship Exp. – Fresher Apply Here – https://internshala.com/internship/details/data-analytics-internship-in-hyderabad-at-deepthought-edutech-ventures-private-limited1724564352 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaFZ2LbKGGGRCU0lnd46 👉Telegram Link: https://t.me/dataanalyticsbuddy All the best 👍👍

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Hey hustlers, Very good morning, and I hope you're doing well. Welcome Day 50 of the 𝗛𝘂𝘀𝘁𝗹𝗲𝗿𝘀𝗹𝗲𝗿𝘀 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝘀𝗽𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝘁𝗼 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 challenge. Today we'll go through basics of SQL commands Use below tutorials and guide for your learning 👇 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝐒𝐐𝐋 𝐂𝐨𝐦𝐦𝐚𝐧𝐝 𝐓𝐲𝐩𝐞𝐬 𝗮𝗻𝗱 𝘁𝗵𝗲𝗶𝗿 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: 1.𝐃𝐃𝐋 (𝐃𝐚𝐭𝐚 𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞): DDL changes the structure of the table like creating a table, deleting a table, altering a table, etc. 𝐂𝐫𝐞𝐚𝐭𝐞: Used to create database objects like tables, indexes, and views. 𝐀𝐥𝐭𝐞𝐫: Modifies the structure of an existing database object. 𝐃𝐫𝐨𝐩: Deletes database objects. 𝐓𝐫𝐮𝐧𝐜𝐚𝐭𝐞: Removes all records from a table, but not its structure. 𝐑𝐞𝐧𝐚𝐦𝐞: Changes the name of a database object. 2. 𝐃𝐌𝐋 (𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞): DML commands are used to modify the database. It is responsible for all form of changes in the database. 𝐈𝐧𝐬𝐞𝐫𝐭: Adds new records to a table. 𝐔𝐩𝐝𝐚𝐭𝐞: Modifies existing records in a table. 𝐃𝐞𝐥𝐞𝐭𝐞: Removes records from a table. 𝐌𝐞𝐫𝐠𝐞: Inserts or updates records conditionally. 3. 𝐃𝐂𝐋 (𝐃𝐚𝐭𝐚 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞): DCL commands are used to grant and take back authority from any database user. 𝐆𝐫𝐚𝐧𝐭:: Provides users with access privileges. 𝐑𝐞𝐯𝐨𝐤𝐞: Removes access privileges from users. 4.𝐓𝐂𝐋 (𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞): TCL commands can only use with DML commands like INSERT, DELETE and UPDATE only. 𝐂𝐨𝐦𝐦𝐢𝐭: Saves the changes made in a transaction. 𝐑𝐨𝐥𝐥𝐛𝐚𝐜𝐤: Reverts the changes made in a transaction. 𝐒𝐚𝐯𝐞 𝐏𝐨𝐢𝐧𝐭: Sets a save point within a transaction to which you can roll back. 5. 𝐃𝐐𝐋 (𝐃𝐚𝐭𝐚 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞): DQL is used to fetch the data from the database. 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬: 𝐒𝐞𝐥𝐞𝐜𝐭: Retrieves data from the database. Tutorial for SQL learning: https://www.w3schools.com/sql/ https://youtu.be/iOW5EWZSQPU?si=4B13Hxx6IHG8d0_r I look forward to your responses. Till then keep learning and keep exploring 🙌 Those who are new in this community this is challenge of becoming working Data Analyst that we have started and if you want to learn about this challenge then check all ping message for your reference.

𝐊𝐢𝐧𝐝𝐧𝐞𝐬𝐬 𝐈𝐬𝐧'𝐭 𝐖𝐞𝐚𝐤𝐧𝐞𝐬𝐬: 𝐈𝐭'𝐬 𝐚 𝐒𝐢𝐠𝐧 𝐨𝐟 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡 💪 🔥🔥🔥 https://www.linkedin.com/posts/mandarmpatil_kindnessisstrength-bethechange-spreadpositivity-activity-7233299618023841792-YKoU

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