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Linkedin Learning

Linkedin Learning

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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

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📈 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 217 054 suscriptores, ocupando la posición 388 en la categoría Educación y el puesto 709 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 054 suscriptores.

Según los últimos datos del 07 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 2, y en las últimas 24 horas de 26, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.24%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.82% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 13 550 visualizaciones. En el primer día suele acumular 3 948 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 16.
  • 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 08 julio, 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.

217 054
Suscriptores
+2624 horas
+3007 días
+230 días
Archivo de publicaciones
Cisco CCNA (200-301) Test Prep.zip163.35 MB

📁 Full description The Cisco Certified Network Associate (CCNA) certification is a great entry point to a career in IT. The revised and more robust CCNA exam—released in February 2020—tests your knowledge on a variety of topics, including network access, IP services, security, and automation. This short course helps you understand the scope and objectives of the 200-301 exam and find resources to inform your studies, including practice tests, textbooks, and hands-on labs. Instructor Jenny Griffith also provides sample questions along with tips for choosing the right answers. By the end of the course, you'll be prepared to pursue this valuable entry-level certification required by so many of today's top employers.

🔰 Cisco CCNA (200-301) Test Prep 🎟2020-08-17 • ⏱45m • 💡Beginner 🗣 Jenny Griffith Prepare for the Cisco Certified Network
🔰 Cisco CCNA (200-301) Test Prep 🎟2020-08-17 • ⏱45m • 💡Beginner 🗣 Jenny Griffith Prepare for the Cisco Certified Network Associate (CCNA) exam. Get an overview of the test objectives, study resources, and sample questions. 📦 Topics: Network Administration LinkedIn Learning

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Developing Your Creativity as a Leader.zip494.13 MB

📁 Full description Creativity is the top skill that companies seek in their employees, but as leaders, how many of us optimize our own creative skill-building? In this course, instructor Denise Jacobs identifies how to shift into a creativity mindset, ignite and up-level your own creative thinking, and cultivate creative confidence in your teams. Denise begins with ways you can develop a creativity-thinking mindset, prevail over perfectionism, and lay a foundation to amplify creative thinking. She steps you through techniques to ignite your creative spark and up-level your creative problem-solving. Denise concludes by teaching you ways you can build creative confidence in yourself and your teams. By building your creativity-thinking skills, you can become a connected and trusted role model, able to spark change that transforms workplaces for the better.

🔰 Developing Your Creativity as a Leader 🎟2021-05-13 • ⏱59m • 💡Advanced 🗣 Denise Jacobs Learn leadership skills to employ
🔰 Developing Your Creativity as a Leader 🎟2021-05-13 • ⏱59m • 💡Advanced 🗣 Denise Jacobs Learn leadership skills to employ more creative thinking in your work, engineer creative workflows for yourself, and bring out the creative best in your team. 📦 Topics: Creativity Skills, Team Leadership LinkedIn Learning

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Machine_Learning_and_AI_Foundations_Predictive_Modeling_Strategy.zip151.72 MB

📁 Full description Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages of a project. How do you know how much data to use? What is too little, what is too much? How does your infrastructure need to scale with the volume and demands of the project? This course walks step by step through the strategic and tactical aspects of determining how much data is needed to build an effective predictive modeling solution based on machine learning and what volumes of data are so large that they will create challenges. Instructor Keith McCormick reviews each stage—data selection, data preparation, modeling, scoring, and deployment—with scalability in mind, providing IT professionals, data scientists, and leadership with new insights, perspectives, and collaboration tools. Note: This course is software agnostic. The emphasis is on strategy and planning. Examples, calculations, and software results shown are for training purposes only.

🔰 Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale 🎟2018-12-11 • ⏱1h 21m • 💡Beginner 🗣 Keith Mc
🔰 Machine Learning and AI Foundations: Predictive Modeling Strategy at Scale 🎟2018-12-11 • ⏱1h 21m • 💡Beginner 🗣 Keith McCormick Scalability is one of the biggest challenges in data science. Learn how to evaluate data, choose the right algorithms, and perform predictive modeling at scale. 📦 Topics: Predictive Modeling, Data Science, Machine Learning LinkedIn Learning

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Test_Automation_with_Python_4_The_WebDriver_Automation_Architecture.zip183.92 MB

📁 Full description Used correctly, Appium and Selenium can be a powerful force for testing web and mobile apps. This course is part of a series from HeadSpin University that walks you through fundamental concepts of software testing, programming, and ultimately UI automation with Appium and Selenium. This course specifically covers the WebDriver protocol and how you can use it with Appium and Selenium. Learn about the client/server architecture of WebDriver, REST APIs, protocol extensions and clients in Appium, as well as drivers in both Appium and Selenium. Note: This course was created by HeadSpin University. We are pleased to host this training in our library.

🔰 Test Automation with Python: 4 The WebDriver Automation Architecture 🎟2021-05-19 • ⏱1h 55m • 💡Beginner 🗣 HeadSpin Unive
🔰 Test Automation with Python: 4 The WebDriver Automation Architecture 🎟2021-05-19 • ⏱1h 55m • 💡Beginner 🗣 HeadSpin University Learn about Appium and Selenium, the popular UI automation tools. This course in the series focuses specifically on using the WebDriver protocol with Appium and Selenium. 📦 Topics: WebDriver, Python, Test Automation LinkedIn Learning

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