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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 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
71 041
🔅 PREMIUM CHANNELS
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🔰 Web Development
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220k| 🔰 Linkedin Learning
137k| 🔰 Udemy Premium
133k| 🔰 Web Development
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116k| 🔰 Python 3
099k| 🔰 JavaScript Training
087k| 🔰 Machine Learning
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067k| 🔰 Artificial Intelligence
066k| 🔰 Data Analysis and Databases
063k| 🔰 React and NextJs
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059k| 🔰 Linux and DevOps
048k| 🔰 100 Days of Python
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045k| 🔰 Business and Finance
044k| 🔰 Best Telegram Channels
039k| 🔰 Zero to Mastery
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039k| 🔰 Mobile Apps
039k| 🔰 Udemy Learning
035k| 🔰 Linkedin Learning Courses
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034k| 🔰 Codedamn Courses
033k| 🔰 React 101
031k| 🔰 Crypto Tutorials
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030k| 🔰 Coding Interview
025k| 🔰 Telegram's Shorts
021k| 🔰 Linux Training
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020k| 🔰 The Coding Space
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🔰 2hrs on top & 8hrs in channel!
71 041
📂 Full description
Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills. This course is part of a Professional Certificate from Microsoft.
71 041
🔅 Learning Data Analytics: 1 Foundations
🌐 Author: Robin Hunt
🔰 Level: Beginner
⏰ Duration: 3h 29m
🌀 This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?📗 Topics: Data Analytics 📤 Join Data Analysis for more courses
71 041
🔅 PREMIUM CHANNELS
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🔰 Web Development
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220k| 🔰 Linkedin Learning
137k| 🔰 Udemy Premium
133k| 🔰 Web Development
-◦-◦--◦-
116k| 🔰 Python 3
099k| 🔰 JavaScript Training
087k| 🔰 Machine Learning
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067k| 🔰 Artificial Intelligence
066k| 🔰 Data Analysis and Databases
063k| 🔰 React and NextJs
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059k| 🔰 Linux and DevOps
048k| 🔰 100 Days of Python
046k| 🔰 OpenAI Mastery
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045k| 🔰 Business and Finance
044k| 🔰 Best Telegram Channels
039k| 🔰 Zero to Mastery
-◦-◦--◦-
039k| 🔰 Mobile Apps
039k| 🔰 Udemy Learning
035k| 🔰 Linkedin Learning Courses
-◦-◦--◦-
034k| 🔰 Codedamn Courses
033k| 🔰 React 101
031k| 🔰 Crypto Tutorials
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030k| 🔰 Coding Interview
025k| 🔰 Telegram's Shorts
021k| 🔰 Linux Training
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020k| 🔰 The Coding Space
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🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
71 041
📂 Full description
You dont need to wield high-level tools to start interacting with your data now. With a basic knowledge of MySQL, youre just about ready to go. In this course, instructor Ava Meredith shows you how to use the MySQL database to manipulate, aggregate, summarize, and analyze data more effectively.Find out how to get the most out of MySQL from a power user by learning how to retrieve data, join tables, and write subqueries and complex queries. Explore aggregate, numeric, string, and date and time functions, as well as other built-in functions to work with different data types. Get quick tips and expert tricks on best practices for navigating within the database, building up your skill set as a data analyst, and taking your productivity to the next level.
71 041
🔅 MySQL for Data Analysis
🌐 Author: Ava Meredith
🔰 Level: Beginner
⏰ Duration: 54m
🌀 Learn quick tips and expert tricks on using MySQL to manipulate, aggregate, summarize, and analyze data more effectively.📗 Topics: MySQL 📤 Join Data Analysis for more courses
71 041
💡 Top Data Analytic Skills to Land a Job in 2025
Here are the most sought-after skills for data analytic roles:
💫 Technical Skills:
🔸 SQL: Mastering SQL is essential for querying and managing data stored in databases.
🔸 Spreadsheets: Tools like MS Excel and GoogleSheets are must-haves for performing calculations, data manipulation, and basic visualizations.
🔸 Programming Languages (Python, R, SAS): These are critical for advanced data analysis and visualization. Python and R are particularly popular due to their robust libraries and versatility.
🔸 Data Visualization: Learn to create impact dashboards and charts. Start with PowerBI (free) before exploring advanced tools.
🔸 Data Management: Develop proficiency in systems like MySQL PostgreSQL or SQLServer to securely and efficiently handle data.
🔸 Machine Learning (Optional): Familiarize yourself with algorithms like Linear Regression, Logistic Regression, and KNN if you’re exploring data science pathways.
💫 Soft Skills: Communication, Collaboration, Critical Thinking, Creativity
🔸 Write clear reports and presentations, collaborate effectively with teams, and explain technical insights in simple terms to stakeholders.
71 041
🔅 PREMIUM CHANNELS
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🔰 Web Development
-◦-◦--◦--◦-◦--◦--◦-◦--
220k| 🔰 Linkedin Learning
136k| 🔰 Udemy Premium
132k| 🔰 Web Development
-◦-◦--◦-
115k| 🔰 Python 3
099k| 🔰 JavaScript Training
086k| 🔰 Machine Learning
-◦-◦--◦-
066k| 🔰 Artificial Intelligence
065k| 🔰 Data Analysis and Databases
063k| 🔰 React and NextJs
-◦-◦--◦-
059k| 🔰 Linux and DevOps
048k| 🔰 100 Days of Python
046k| 🔰 OpenAI Mastery
-◦-◦--◦-
045k| 🔰 Business and Finance
044k| 🔰 Best Telegram Channels
039k| 🔰 Zero to Mastery
-◦-◦--◦-
039k| 🔰 Mobile Apps
039k| 🔰 Udemy Learning
034k| 🔰 Linkedin Learning Courses
-◦-◦--◦-
034k| 🔰 Codedamn Courses
033k| 🔰 React 101
031k| 🔰 Crypto Tutorials
-◦-◦--◦-
030k| 🔰 Coding Interview
025k| 🔰 Telegram's Shorts
021k| 🔰 Linux Training
-◦-◦--◦-
020k| 🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
