¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Mostrar más📈 Análisis del canal de Telegram Linkedin Learning
El canal Linkedin Learning (@linkedin_learning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 217 139 suscriptores, ocupando la posición 389 en la categoría Educación y el puesto 717 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 139 suscriptores.
Según los últimos datos del 21 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 210, y en las últimas 24 horas de -2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.71%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.41% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 571 visualizaciones. En el primer día suele acumular 3 053 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 13.
- Intereses temáticos: El contenido se centra en temas clave como author, linkedin, linux, javascript, 040k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 22 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.
217 139
Suscriptores
-224 horas
+27 días
+21030 días
Archivo de publicaciones
217 137
🔸 Full description 🔸
This course with database expert Adam Wilbert introduces you to creating relational databases with SQL Server and the graphical interface, SQL Server Management Studio. Adam walks you through your first steps in the newest edition of Microsoft's database management system. He takes a detailed look at creating efficient tables and adding rows of data, importing existing tabular data from spreadsheets, and writing queries to view and process that data. Adam also covers important database management tasks such as creating backups, securing access to sensitive information, and leveraging the capabilities of Microsofts Azure cloud infrastructure.
217 137
🔅 Microsoft SQL Server 2022 Essential Training
🌐 Author: Adam Wilbert
🔰 Level: Beginner
⏰ Duration: 5h 23m
🌀
Get an introduction to creating relational databases with SQL Server and the graphical interface, SQL Server Management Studio.
📗 Topics: Microsoft SQL Server
📤 Join @linkedin_learning for more courses217 137
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According to our information, a young man from Dubai managed to win several times in a row in the casino, seeking to learn the strategies of the game in a special Telegram channel. 💯
However, after his successful game, the account was blocked by the casino until the circumstances were clarified, with a sum of $78000 remaining in the account. ❌❌❌
As it turned out, the he has already won many times with the help of this Telegram channel and thanks to this and was able to afford such a luxurious life. 😎
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217 137
🔸 Full description 🔸
Are you curious how data powers machine learning and data science? In this course, Wuraola Oyewusi dives into the intricacies of data annotation for machine learning and shows how data is prepared and used for training of machine learning models. Wuraola starts with a big-picture look at the principles, types, and importance of data annotation in machine learning pipelines. She then dives into hands-on use cases for data annotation in natural language processing, computer vision, and general data science using different tools. Other topics include using both open-source and proprietary tools such for data notation, as well as labeling data on major cloud platforms like AWS, Azure, and GCP.
217 137
🔅 Hands-On Data Annotation: Applied Machine Learning
🌐 Author: Wuraola Oyewusi
🔰 Level: Beginner
⏰ Duration: 3h 51m
🌀
Get insights into the intricacies of data annotation for machine learning.
📗 Topics: Data Annotation, Machine Learning
📤 Join @linkedin_learning for more courses217 137
🔅 How to Plan Your Website
🌐 Author: Avery Swartz
🔰 Level: General
⏰ Duration: 1h 31m
🌀
You no longer need coding skills to build a website, but you do still need a plan. Learn how to determine what type of website to make and which goals to start tracking.
📗 Topics: Website Building, Web Design
📤 Join @webdev_trainings for more courses217 137
🔸 Full description 🔸
After footprinting and reconnaissance, scanning is the second phase of information gathering that hackers use to size up a network. Network scans are a key tool in the arsenal of ethical hackers, who work to prevent attacks on an organizations infrastructure and data. This course investigates the scanning tools and techniques used to obtain information from a target system.
Instructor Lisa Bock discusses the importance of scanning the network during an Ethical Hacking exercise. She covers host discovery methods and explains ways to identify open services and determine the OS on a host. In addition, Lisa outlines evasion techniques to use when scanning and presents anti-spoofing and scanning methods
Note: The Ethical Hacking series maps to the 20 parts of the EC-Council Certified Ethical Hacker (CEH) exam (312_50) version 12.
217 137
🔅 Ethical Hacking: Scanning Networks
🌐 Author: Lisa Bock
🔰 Level: Intermediate
⏰ Duration: 2h 15m
🌀
Become an ethical hacker. Learn how to detect network vulnerabilities to prevent attacks on your organization's infrastructure and data.
📗 Topics: Network Monitoring Tools, Ethical Hacking
📤 Join @linkedin_learning for more courses217 137
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