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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 217 182 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 217 182 suscriptores.
Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 166, 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 7.10%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.31% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 15 413 visualizaciones. En el primer día suele acumular 2 837 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
- 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 23 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.
217 182
Suscriptores
+1524 horas
+217 días
+16630 días
Archivo de publicaciones
217 154
🔸 Full description 🔸
Learning about Industrial automation and PLC controllers can help in providing new opportunities for engineering students, new grads, and people who already work in the field or have interest in a career shift to the industrial field. With the fast merging of automated factories, robotics, and Industry 4.0, learning new skills in this area means more opportunities.In this short course, instructor Zara Khalil introduces you to PLC controllers and programming, and industrial automation, sharing insights and points of interest, without overwhelming you with specialized topics. Zara first covers industrial automation and its main levels. Then, she gets into the basics of PLC ladder logic programming. Finally, she demonstrates two practical demos to see how the program works.
217 154
🔅 Introduction to PLC and Industrial Automation
🌐 Author: Zara Khalil
🔰 Level: Beginner
⏰ Duration: 18m
🌀
Get an introduction to industrial automation and PLC ladder logic programming.
📗 Topics: Industrial Automation, PCL
📤 Join @linkedin_learning for more courses217 154
Open Doors is an Olympiad that will change your future!
Study at one of the best universities in Russia for free on Master's and Doctoral program (similar to PhD) in English. You will become a specialist with useful hard and soft skills, strong theoretical knowledge, and special skills according to your specialization. This is your chance for success!
Choose your new future and participate in the Open Doors Olympiad online!
You can find more information about the subjects, rounds of the Olympiad, and participating universities on the website.
217 154
🔸 Full description 🔸
Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There's a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If youre looking to understand the machine learning lifecycle and the steps required to build systems, check out this course.
217 154
🔅 Artificial Intelligence Foundations: Machine Learning
🌐 Author: Kesha Williams
🔰 Level: Beginner
⏰ Duration: 1h 50m
🌀
Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.
📗 Topics: Machine Learning
📤 Join @linkedin_learning for more courses217 154
🔸 Full description 🔸
As a developer, you will encounter the SQLite database engine in a lot of places: as a storage engine for web browsers, in IoT, on mobile phones, for configuration and log storage, and many more use cases. In this course, programmer and data analyst Brian Jepson gives you all the information you need to get started using SQLite. Learn about SQLite setup and the command-line interface. Check out DB Browser and learn to use the SELECT statement. Explore ways to create, add, modify, and delete data, then deep dive into more uses of SELECT and other functions. Find out how to work with SQLite databases from a web application, pair it with programming languages, and embed it in phones and IoT devices. Get started with this very versatile engine!
217 154
🔅 Introduction to SQLite
🌐 Author: Brian Jepson
🔰 Level: Beginner
⏰ Duration: 1h 16m
🌀
Get started using the versatile SQLite database engine.
📗 Topics: SQLite
📤 Join @linkedin_learning for more courses217 154
Open Doors is an Olympiad that will change your future!
Study at one of the best universities in Russia for free on Master's and Doctoral program (similar to PhD) in English. You will become a specialist with useful hard and soft skills, strong theoretical knowledge, and special skills according to your specialization. This is your chance for success!
Choose your new future and participate in the Open Doors Olympiad online!
You can find more information about the subjects, rounds of the Olympiad, and participating universities on the website.
