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
Mostrar más📈 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 70 803 suscriptores, ocupando la posición 2 261 en la categoría Educación y el puesto 4 562 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 70 803 suscriptores.
Según los últimos datos del 26 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -310, y en las últimas 24 horas de -15, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 11.21%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.74% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 7 934 visualizaciones. En el primer día suele acumular 1 943 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 27 agosto, 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.
70 803
Suscriptores
-1524 horas
-1277 días
-31030 días
Archivo de publicaciones
70 803
🔅 Learning Apache Airflow
📝 Get an introduction to Apache Airflow—its uses, structure, how to get it up and running, and how to create and execute workflows.
🌐 Author: Janani Ravi
🔰 Level: Advanced
⏰ Duration: 2h 10m
📋 Topics: Apache Airflow, IT Automation
🔗 Join Data Analysis for more courses
70 803
+3
Here’s a practical, code-first playbook for exploring numerical data 👇
How we approach EDA (with Python code + outputs):
- Basics: shape, dtypes, and missing values.
- Descriptives: mean/median, variance, and percentiles for quick sanity checks.
- Distributions: histograms, boxplots, density to spot skew and spread.
- Relationships: scatter plots and a correlation heatmap to find signals.
- Outliers: z-scores/IQR to flag anomalies worth investigating.
- Scaling: MinMax vs Z-score depending on the model and metric.
- Segments: groupby comparisons to surface patterns you miss in globals.
- Decisions: tie insights back to the question and next steps.
What this really means is: you get a repeatable workflow that turns raw numbers into clear hypotheses fast.
70 803
📁 Master Excel like a pro
Here's your ultimate Excel Cheat Sheet tailored for Data Analysts. Save it, share it, and boost your productivity!
70 803
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🔅 SQL Practice: Intermediate Queries
📝 Practice writing immediate queries in SQL in this hands-on, interactive course with coding challenges in CoderPad.
🌐 Author: Scott Simpson
🔰 Level: Intermediate
⏰ Duration: 11m
📋 Topics: SQL, Database Queries
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🔰 PostgreSQL 101: The Everything Database
Built using C language, PostgreSQL is the most popular choice of database from small web apps to enterprise systems. It runs as a multi-process system and follows ACID principles.📋 The key points about PostgreSQL’s Architecture are as follows: 1 - PostgreSQL supports concurrent client connections independently. Each client connection to PostgreSQL creates a dedicated server process. 2 - The Postmaster Process is the main supervisor that manages all other PostgreSQL processes. It controls the entire database instance. 3 - Background workers run parallel processes when needed to handle specialized tasks. 4 - PostgreSQL shared memory is a central memory area containing multiple buffers such as Shared, WAL, Clog, and Temporary buffers. All components communicate through this shared memory. 5 - PostgreSQL also has several auxiliary processes such as: - BG Writer: Manages background writing - WAL Writer: Handles write-ahead logging - Auto Vacuum: Maintains database cleanliness - Checkpointer: Ensures data consistency - Stats Collector: Gathers statistics - System Logger: Manages Logging - Archiver: Handles archiving - Replication launcher: Manages replication 6 - PostgreSQL has different types of physical files for varied needs such as: - Data Files: Stores actual database data - WAL Files: Write-ahead log storage - Archive Files: Backup and recovery data - Log Files: System and error logs
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📂 Full description
Observable is one of the most exciting (and constantly expanding) platforms to use for data analytics, visualization, storytelling, and collaboration. Its blend of easy-to-use click and drag features and customization makes it extremely popular for users across a wide range of skillsets. In this course, data analytics and visualization expert Bill Shander gives you an overview of the Observable platform, introducing the key features and functionalities with practical and tangible examples. Bill shows you how to get data into Observable, manipulate that data, and make visuals and reports with it. He demonstrates how to add interactivity to the reports, and how to make visuals in a variety of ways—some of which are one-click and others that offer more customizability with coding. By the end of the course, you will be able to spin up a new notebook, add data to it, and create a fully interactive data report.
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🔅 Data Analytics with Observable
🌐 Author: Bill Shander
🔰 Level: Intermediate
⏰ Duration: 2h 9m
🌀 Get an overview of the Observable platform and build real skills fast.📗 Topics: Data Visualization, Data Analytics 📤 Join Data Analysis for more courses
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𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗕𝗮𝘀𝗶𝗰 𝗦𝗤𝗟 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀! 🧠
Are you looking to build or refine your SQL skills? Whether you're a beginner or want to solidify the fundamentals, mastering these basic SQL commands is a great starting point. Here's a quick rundown of the most commonly used SQL commands
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