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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 216 773 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 216 773 suscriptores.

Según los últimos datos del 30 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -326, y en las últimas 24 horas de -64, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.72%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.81% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 14 556 visualizaciones. En el primer día suele acumular 3 932 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 12.
  • 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 01 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.

216 773
Suscriptores
-6424 horas
-4767 días
-32630 días
Archivo de publicaciones
📦 Exercice Files

Learning SOLID Programming Principles @Linkedin_Learning

📁 Full description There are many principles that support good object-oriented design and programming. Five of these principles are described by SOLID: single responsibility, open-closed, Liskov substitution, interface segregation, and dependency inversion. These principles guide the creation of stable, scalable, and robust code.To incorporate SOLID into your own development workflow, Steven Lott has prepared a series of lessons that break down the principles one by one, with real-world examples. Learn how to use these principles in the design process, and to test the strength of your code along the way. Steven uses Python to demonstrate the concepts, but they're useful for any object-oriented programming language.

🔰 Learning SOLID Programming Principles 🎟2022-03-09 • ⏱1h 49m • 💡Intermediate 🗣 Steven Lott Learn the SOLID programming p
🔰 Learning SOLID Programming Principles 🎟2022-03-09 • ⏱1h 49m • 💡Intermediate 🗣 Steven Lott Learn the SOLID programming principles to write more stable, scalable code. Get detailed examples and real-world examples of SOLID in action. 📦 Topics: Programming, SOLID Design Principles LinkedIn Learning

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📦 Exercice Files

Digital Transformation in Supply Chains @Linkedin_Learning

📁 Full description No two businesses are exactly the same, but they all have two things in common. Every business depends on supply chains and technology—and you need both in order to succeed. The hard part is, you cant keep up with technology unless you transform your supply chains, too. In this course, instructor Daniel Stanton offers a big-picture view of supply chain management and teaches you how to overcome important challenges and harness technology to create innovative solutions.Learn about supply chain challenges and why new technologies are important for solving them. Find out how to continuously improve your supply chain by making it faster, cheaper, and better, utilizing tools related to cybersecurity, AI, blockchain, cloud computing, simulation, automated delivery, quantum computing, robotics, and more. By the end of this course, youll be ready to incorporate these tools into a roadmap thats measurable, team-based, and positioned for effective digital transformation.

🔰 Digital Transformation in Supply Chains 🎟2022-04-04 • ⏱1h 21m • 💡Intermediate 🗣 Daniel Stanton Explore common challenge
🔰 Digital Transformation in Supply Chains 🎟2022-04-04 • ⏱1h 21m • 💡Intermediate 🗣 Daniel Stanton Explore common challenges in supply chains and how to use new technologies to create innovative business solutions. 📦 Topics: Supply Chain Management, Digital Transformation LinkedIn Learning

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Data Analytics: Graph Analytics @Linkedin_Learning

📁 Full description Since the inception of data analytics, the way in which analysts view and interpret data has evolved tremendously. New technologies, tools, and approaches have advanced what's possible with data analytics, and network analysis is no exception. In this course, longtime data analyst and data visualization expert Heather Johnson shares the fundamentals of using graph analytics, or network analysis, when analyzing data. Heather begins by reviewing the components of a network analysis and detailing the advantages of using a graph analytics approach. She then walks through key applications of using graph analytics when reviewing data. To wrap up the course, Heather discusses career opportunities within the realm of graph analytics. Upon completion, youll be equipped with the knowledge of what graph analytics is and how it can be leveraged within your analytics career.This course was created by Madecraft. We are pleased to host this training in our library.

🔰 Data Analytics: Graph Analytics 🎟2021-10-07 • ⏱19m • 💡Beginner 🗣 Heather Johnson Learn the fundamentals of graph analyt
🔰 Data Analytics: Graph Analytics 🎟2021-10-07 • ⏱19m • 💡Beginner 🗣 Heather Johnson Learn the fundamentals of graph analytics—an up-and-coming approach to tackling data science projects—in this concise course. 📦 Topics: Data Analytics LinkedIn Learning

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📦 Exercice Files

Building a Product from Scratch @Linkedin_Learning

📁 Full description Do you have a billion-dollar idea for a business or product but dont know where to start? Or maybe youre a product manager tasked with the hefty responsibility of building a new product at your company and feeling lost? In this course, Silicon Valley entrepreneur and venture capitalist Charu Sharma teaches you how to build a product from scratch, step by step. Using both real-world and fictional examples, Charu takes you through the product development journey, from your initial vague idea for a product, to understanding your potential product-market fit, to building and testing a prototype, and aligning with key stakeholders. By the end of this course, you will be equipped with the knowledge and best practices to turn your product dreams into reality.

🔰 Building a Product from Scratch 🎟2022-03-30 • ⏱47m • 💡Beginner 🗣 Charu Sharma Gain essential skills to develop new prod
🔰 Building a Product from Scratch 🎟2022-03-30 • ⏱47m • 💡Beginner 🗣 Charu Sharma Gain essential skills to develop new products from scratch. 📦 Topics: Product Development LinkedIn Learning

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