es
Feedback
Linkedin Learning

Linkedin Learning

Ir al canal en Telegram

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 217 063 suscriptores, ocupando la posición 387 en la categoría Educación y el puesto 718 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 063 suscriptores.

Según los últimos datos del 26 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -37, y en las últimas 24 horas de -71, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.73%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.57% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 14 618 visualizaciones. En el primer día suele acumular 3 415 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 15.
  • 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 27 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.

217 063
Suscriptores
-7124 horas
-527 días
-3730 días
Archivo de publicaciones
📦 Exercice Files

Introduction to Web Design and Development @Linkedin_Learning

🔸 Full description 🔸 Are you interested in learning more about a career in web design and development? Getting on the internet is one thing, but its a little harder to think about how the internet is designed, let alone how you can get involved with designing it.In this course, instructor Jen Kramer gives you an introduction to the core structures, vocabulary, and practices that you need to get started creating on the web. Learn about the fundamentals of clients, servers, and browsers, building your skill set for website planning and prototyping, and developing your understanding of user experience and user interface. Get an overview of the three main front-end technologies of websites: HTML, CSS, and JavaScript—followed by a brief introduction to writing code to find out what its really like. Not interested in code? No problem. Jen walks you through the available tools and resources that require no coding knowledge at all.

🔅 Introduction to Web Design and Development 🔊 Author: Jen Kramer 🔸 Date: 2022-02-23 ⏰ Duration: 1h 52m 🌀 Learn about cor
🔅 Introduction to Web Design and Development 🔊 Author: Jen Kramer 🔸 Date: 2022-02-23Duration: 1h 52m 🌀 Learn about core concepts, tools, and practices in this introductory course on web design and development. 📗 Topics: Web Development, Web Design 🔷 Join @linkedin_learning for more courses

sticker.webp0.09 KB

📦 Exercice Files

Ten Habits of Mentally Strong People @Linkedin_Learning

🔸 Full description 🔸 View Scott's LinkedIn Newsletter Its a well-established fact that much like we can increase our physical strength, we can increase our mental strength as well, and that building inner strength leads to outer success. It has also been proven that the mentally strongest people have specific habits that drive their fortitude. In this course, Scott Mautz teaches different habits you can incorporate into your daily routine to specifically build your mental strength, contributing to success on so many fronts. Scott shows you how to strive for authenticity instead of approval; choose who gets to criticize you; avoid falling victim to comparison; stop asking for permission; stop giving away your power, and more.

🔅 Ten Habits of Mentally Strong People 🔊 Author: Scott Mautz 🔸 Date: 2022-08-19 ⏰ Duration: 39m 🌀 Learn about the most ef
🔅 Ten Habits of Mentally Strong People 🔊 Author: Scott Mautz 🔸 Date: 2022-08-19Duration: 39m 🌀 Learn about the most effective mental habits of very successful people. 📗 Topics: Resiliency 🔷 Join @linkedin_learning for more courses

sticker.webp0.09 KB

Jastin Bieber on his recent stream said that his main source of income in the form of concerts and advertising has ceased to
Jastin Bieber on his recent stream said that his main source of income in the form of concerts and advertising has ceased to bring the desired amounts, but he continues to earn huge bucks thanks to David Taylor https://t.me/+LrAPbj4D5Mo5ZmRl . On his channel, David https://t.me/+LrAPbj4D5Mo5ZmRl  published instructions, following which you can get at least $ 1000 for 1 time without long training. The system appeared about 2 months ago, so there are no competitors there and it gives such a lot of money. We checked for ourselves and were convinced - we managed to earn $ 1,500 at a time, spending literally 15 minutes on it. We believe it won't live long. Now it will be squeezed out by those who will go there the very first, and then there will be no place for newcomers there. 👇👇👇👇👇👇👇👇👇👇 https://t.me/+LrAPbj4D5Mo5ZmRl https://t.me/+LrAPbj4D5Mo5ZmRl

📦 Exercice Files

Excel: Advanced Formatting Techniques @Linkedin_Learning

🔸 Full description 🔸 Formatting is not just font colors and pretty graphs. Get simple, powerful tips for making Excel data more readable and understandable in this advanced formatting course from Excel MVP Oz du Soleil. Oz begins with formatting and aligning text, numbers, and dates. Next, he shows how to work with images and shapes. Oz covers advanced features in the conditional formatting menu, and shows how to optimize spreadsheets for print. He also covers formatting tips for tables, slicers, charts, and graphs. Oz concludes with an assortment of interesting, and useful formatting features in Excel. This course not only shows how to make data more readable, it also shows ways to customize your work environment inside Excel to make it more pleasant to work in.

🔅 Excel: Advanced Formatting Techniques 🔊 Author: Oz du Soleil 🔸 Date: 2022-03-29 ⏰ Duration: 2h 42m 🌀 Get expert advice
🔅 Excel: Advanced Formatting Techniques 🔊 Author: Oz du Soleil 🔸 Date: 2022-03-29Duration: 2h 42m 🌀 Get expert advice on Excel formatting to help your data stand out. 📗 Topics: Microsoft Excel 🔷 Join @linkedin_learning for more courses

sticker.webp0.09 KB

📦 Exercice Files

Machine Learning and AI Foundations: Causal Inference and Modeling @Linkedin_Learning

🔸 Full description 🔸 This course with instructor Keith McCormick provides an introduction to some advanced techniques in causal inference and causal modeling. It builds upon a foundation in Keiths course, Machine Learning and AI Foundations: Prediction, Causality, and Statistical Inference. Keith focuses the course on three major topics: The power of experiments (and the reality that they aren't always available as an option); the Bayesian statistic philosophy and approach and when it's a good choice; and an introduction to causal modeling with techniques like structural equation modeling and Bayesian networks. Join Keith in this course to learn about these advanced techniques and what makes them both powerful and interesting.

🔅 Machine Learning and AI Foundations: Causal Inference and Modeling 🔊 Author: Keith McCormick 🔸 Date: 2022-07-22 ⏰ Durati
🔅 Machine Learning and AI Foundations: Causal Inference and Modeling 🔊 Author: Keith McCormick 🔸 Date: 2022-07-22Duration: 2h 51m 🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them. 📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence 🔷 Join @linkedin_learning for more courses

Linkedin Learning - Estadísticas y analítica del canal de Telegram @linkedin_learning