Linkedin Learning

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

📈 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 217 335 suscriptores, ocupando la posición 387 en la categoría Educación y el puesto 707 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 335 suscriptores.

Según los últimos datos del 10 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 243, y en las últimas 24 horas de 106, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.78%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.86% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 14 743 visualizaciones. En el primer día suele acumular 4 040 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 11 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.

217 335

Suscriptores

+10624 horas

+3557 días

+24330 días

14 743

Visitas de la publicación

~ 4 04024 horas

~ 5 62348 horas

6.78%

Tasa de compromiso

~ 1

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Small Business Tips.zip104.96 MB

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📁 Full description If you're a small business owner or a side hustler, or if you just like learning about the world of micro-entrepreneurship, this action-packed course is for you. Author and entrepreneur Chris Guillebeau draws from Side Hustle School, his daily podcast, to present and answer questions on a variety of topics from real small business owners. Chris deals with topics including businesses you can start with a small amount of money, buying for resale on Alibaba, fighting burnout, growing a YouTube channel, and much more. He concludes with information on how you can submit a question that might be answered in future lessons. Note: This course was created by Chris Guillebeau. We are pleased to host this training in our library. Udemy Courses - ZTM Courses - Course

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🔰 Small Business Tips 🎟2021-08-13 • ⏱49m • 💡Beginner 🗣 Chris Guillebeau Hear answers to some of the most popular listener questions posed on the Side Hustle School podcast, with a focus on helping small business owners thrive in the new economy. 📦 Topics: Small Business Management LinkedIn Learning

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Introduction to Linux.zip158.53 MB

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📁 Full description With so many technical terms, cultural quirks, and options to pursue, getting started with Linux can seem overwhelming. In this course, instructor Scott Simpson covers the fundamentals of what you need to know in order to make smart choices about learning Linux. Scott discusses the Linux kernel, the software that allows you to interact with a computer’s hardware. He explains desktop environments, text-based terminal interfaces, and standard tools that are used on a Linux system. Scott goes over where different types of files are stored on Linux systems. He offers tips on choosing which Linux distribution, or distro, to use and helps you plan your Linux system. Scott shows you how to direct your strategy for learning Linux, then gives some tips on how to find answers and ask for help. Udemy Courses - ZTM Courses - Course

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🔰 Introduction to Linux 🎟2021-02-19 • ⏱52m • 💡Beginner 🗣 Scott Simpson Learning Linux can be a daunting task, so this course lays the groundwork for your Linux journey with term definitions, standards, and options you can pursue. 📦 Topics: Linux System Administration, Linux LinkedIn Learning

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AWS_Well_Architected_Framework_Performance_Efficiency_Pillar.zip158.70 MB

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📁 Full description The AWS Well-Architected Framework includes strategies to help enterprise architects compare workloads against AWS-identified best practices. It is designed to help architects build secure, high-performing, resilient, and efficient infrastructure for their applications and comprises five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. In this course, Mark Wilkins takes an in-depth look at the fifth pillar, performance efficiency. Mark covers the different computing resources—including compute, storage, database, and network—and shows how to optimize performance for each. He also illustrates the importance of fine-tuning performance to maintain efficiency over time. This course is designed to work in conjunction with the remaining courses in the path, and while Mark covers some topics that were detailed in the other pillars, in this course he looks at these topics specifically from the viewpoint of efficiency. Udemy Courses - ZTM Courses - Course

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🔰 AWS Well-Architected Framework: Performance Efficiency Pillar 🎟2021-04-01 • ⏱47m • 💡Intermediate 🗣 Mark Wilkins Learn how to optimize performance of your computing resources in an AWS environment and maintain performance efficiency over time. 📦 Topics: Efficiency Optimization, Enterprise Architecture Planning, Amazon Web Services LinkedIn Learning

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🪂 TORG Quick Airdrop 🥳 Earn $1 to $3 ⚡️ Forward & Invite friends 🔗 Join now https://gleam.io/3fyWb/torg-quick-airdrop-earn-1-to-3 Ends: 10:59AM 20th Sep. Distribution: 11:59AM 20th Sep. (Zurich) ❗️ Important Reminder ❗️ 👉 Amount in USD is for informational purpose only and changed based on the TORG price. 👉 Please turn on notification for @TORGTogether ⛔️ Anyone that claims to be TORG representative and messages you first in a private message is a scammer. If anyone asks you to send money to any address, they are also trying to scam you and should be ignored. Please report these users immediately.

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📦 Exercice Files

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More Python Tips, Tricks, and Techniques for Data Science.zip337.39 MB

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📁 Full description The power and versatility of Python—coupled with its large ecosystem of third-party packages—make it indispensable to data scientists. In this course, instructor Harshit Tyagi shares practical tips and techniques that can help you enhance your own Python data science workflow. Harshit covers how to work with IPython notebooks, including how to debug errors. He shows how to use NumPy to manipulate arrays, as well as how to work with pandas, the data manipulation and analysis tool. He provides tips for visualizing your data with Matplotlib, explaining how to add text to plots and annotate elements on a chart. Plus, get best practices for working with scikit-learn, as well as other machine learning tips. Udemy Courses - ZTM Courses - Course