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Data Science

Data Science

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Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases

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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 71 067 suscriptores, ocupando la posición 2 281 en la categoría Educación y el puesto 4 735 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 71 067 suscriptores.

Según los últimos datos del 06 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -16, y en las últimas 24 horas de 26, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 11.78%. 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 8 369 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 08 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.

71 067
Suscriptores
+2624 horas
+477 días
-1630 días
Archivo de publicaciones
Data Science
Data Science
71 067
📂 Full description Are you familiar with SQL? Do you know Python? Are you interested in understanding how these two languages work together? Then join Bill Weinman in this course as he shows the power of these two languages combined. Bill starts with some basics—connecting to a database, performing simple queries, and reading rows from a table. He covers how to use prepared statements and cursors, how to build a wrapper class to streamline the SQL interface and support multiple different database engines, and how to build a CRUD class and a full-featured web application using what you've learned. Many applications require a combination of SQL and Python, and after finishing Bills course, youll have a better understanding of why and how you can leverage the power of these two languages together.

Data Science
Data Science
71 067
🔅 Using SQL with Python 🌐 Author: Bill Weinman 🔰 Level: Intermediate ⏰ Duration: 1h 39m 🌀 If you already know SQL and Pyt
🔅 Using SQL with Python 🌐 Author: Bill Weinman 🔰 Level: Intermediate ⏰ Duration: 1h 39m
🌀 If you already know SQL and Python, learn the power of using these two languages together.
📗 Topics: SQL, Python 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
71 067
📖 SQL ROADMAP
+6
📖 SQL ROADMAP

Data Science
Data Science
71 067
Seaborn Cheatsheet ✅
+7
Seaborn Cheatsheet ✅

Data Science
Data Science
71 067
🖥 Visualizing a SQL query
🖥 Visualizing a SQL query

Data Science
Data Science
71 067
📱Data Analysis and Databases 📱Machine Learning and AI Foundations: Classification Modeling

Data Science
Data Science
71 067
🔅 Machine Learning and AI Foundations: Classification Modeling 🌐 Author: Keith McCormick 🔰 Level: Intermediate ⏰ Duration:
🔅 Machine Learning and AI Foundations: Classification Modeling 🌐 Author: Keith McCormick 🔰 Level: Intermediate ⏰ Duration: 2h 5m
🌀 Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
📗 Topics: Machine Learning, Artificial Intelligence, Data Classification 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
71 067
📱Data Analysis and Databases 📱Learning Digital Business Analysis

Data Science
Data Science
71 067
🔅 Learning Digital Business Analysis 🌐 Author: Angela Wick 🔰 Level: Intermediate ⏰ Duration: 1h 26m 🌀 Discover how new di
🔅 Learning Digital Business Analysis 🌐 Author: Angela Wick 🔰 Level: Intermediate ⏰ Duration: 1h 26m
🌀 Discover how new digital technologies are changing traditional business models and processes. Learn what these changes mean and how to implement technologies and changes.
📗 Topics: Business Analysis 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
71 067
📱Data Analysis and Databases 📱Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python

Data Science
Data Science
71 067
🔅 Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python 🌐 Author: Gwendolyn Stripling 🔰 Leve
🔅 Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python 🌐 Author: Gwendolyn Stripling 🔰 Level: Intermediate ⏰ Duration: 1h 56m
🌀 Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.
📗 Topics: Generative AI, Deep Learning, Python 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
71 067
📖 SQL CheatSheet Full Course
+8
📖 SQL CheatSheet Full Course

Data Science
Data Science
71 067
Which python library is not used specifically for data visualization?
Anonymous voting

Data Science
Data Science
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📱Data Analysis and Databases 📱Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python

Data Science
Data Science
71 067
📖 What Is MongoDB?
+5
📖 What Is MongoDB?

Data Science
Data Science
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📦 Exercise Files

Data Science
Data Science
71 067
📱Data Analysis and Databases 📱More Python Tips, Tricks, and Techniques for Data Science

Data Science
Data Science
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🔅 More Python Tips, Tricks, and Techniques for Data Science 🌐 Author: Harshit Tyagi 🔰 Level: Intermediate ⏰ Duration: 2h 1
🔅 More Python Tips, Tricks, and Techniques for Data Science 🌐 Author: Harshit Tyagi 🔰 Level: Intermediate ⏰ Duration: 2h 15m
🌀 Deliver valuable insights to your users with Python. Get practical tips and techniques that can help you enhance your Python data science workflow.
📗 Topics: Data Science, Python 📤 Join Data Analysis and Databases for more courses

Data Science
Data Science
71 067
Python Toolkit ✅
+5
Python Toolkit ✅

Data Science
Data Science
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📖 SQL Short Notes 📝 Beginner To Advance
+7
📖 SQL Short Notes 📝 Beginner To Advance