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Data Science

Data Science

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📈 Análisis del canal de Telegram Data Science

El canal Data Science (@sql_databases) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 71 041 suscriptores, ocupando la posición 2 273 en la categoría Educación y el puesto 4 764 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 71 041 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -54, y en las últimas 24 horas de 6, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.21%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.97% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 8 672 visualizaciones. En el primer día suele acumular 2 110 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 database, learning, linkedin, udemy, 029k|.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 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.

71 041
Suscriptores
+624 horas
+237 días
-5430 días
Archivo de publicaciones
📦 Exercise Files

📱Data Analysis 📱MySQL Installation and Configuration

🔅 MySQL Installation and Configuration 📝 Learn how to install and configure MySQL on various platforms, including Mac and W
🔅 MySQL Installation and Configuration 📝 Learn how to install and configure MySQL on various platforms, including Mac and Windows. 🌐 Author: Bill Weinman 🔰 Level: Intermediate ⏰ Duration: 1h 20m 📋 Topics: MySQL, Database Administration 🔗 Join Data Analysis for more courses

📁 Mastering SQL
📁 Mastering SQL

📖 SQL Basics
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📖 SQL Basics

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If you’re thinking of starting a career in data science but not sure where to begin, 🤔 don’t worry—I’ve got you covered! 🙌
If you’re thinking of starting a career in data science but not sure where to begin, 🤔 don’t worry—I’ve got you covered! 🙌 Here’s a list of platforms that can help you learn 📚, practice 💻, and ace your interviews. Whether you’re diving into online courses 🧑‍🏫, looking for datasets 📊 to build your projects, or sharpening your coding skills 💡 for interviews, these resources are perfect for you.

📱Data Analysis 📱Hands-On Advanced Python: Data Engineering Basics

🔅 Hands-On Advanced Python: Data Engineering Basics 📝 Practice applying advanced concepts and coding moves in Python in thi
🔅 Hands-On Advanced Python: Data Engineering Basics 📝 Practice applying advanced concepts and coding moves in Python in this hands-on, interactive course with coding challenges in CoderPad. 🌐 Author: Joe Marini 🔰 Level: Advanced ⏰ Duration: 1h 56m 📋 Topics: Python 🔗 Join Data Analysis for more courses

📖 Brain of Data Analyst
📖 Brain of Data Analyst

📖 Data Analyst Roadmap
📖 Data Analyst Roadmap

📖 Types of Databases
📖 Types of Databases

📱Data Analysis 📱Advanced Hands-On Python: Working with Excel and Spreadsheet Data

🔅 Advanced Hands-On Python: Working with Excel and Spreadsheet Data 📝 This course demonstrates ways to use Python to work w
🔅 Advanced Hands-On Python: Working with Excel and Spreadsheet Data 📝 This course demonstrates ways to use Python to work with Excel and spreadsheet data, such as reading, writing, and converting content and working with Excel workbooks, sheet data, and formulas. 🌐 Author: Joe Marini 🔰 Level: Intermediate ⏰ Duration: 2h 45m 📋 Topics: Pandas, Data Analysis, Microsoft Excel 🔗 Join Data Analysis for more courses

📖 SQL Joins - Part 3
📖 SQL Joins - Part 3

📖 SQL Joins - Part 2
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📖 SQL Joins - Part 2

📖 SQL Joins - Part 1 📍Types of joins used very often includes - ✔️LEFT JOIN - All data from the left table but common data
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📖 SQL Joins - Part 1 📍Types of joins used very often includes - ✔️LEFT JOIN - All data from the left table but common data from the right table ✔️RIGHT JOIN - All data from right table and common data from the left table ✔️INNER JOIN - Only common data from both the tables ✔️OUTER JOIN - All the data from both the tables keeping null values with no common keys ✔️UNION - Stack table data on top of one another ✔️CROSS JOIN - All possible combinations of data from both the tables