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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 216 999 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 216 999 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.
216 999
Suscriptores
-7124 horas
-527 días
-3730 días
Archivo de publicaciones
216 988
🔸 Full description 🔸
Python and R are common programming languages used when working with data. Each language is powerful in its own way; however, it's important that you select the language that will best help you achieve your end result. In this course, data scientist and coding instructor Lavanya Vijayan helps you make this choice, sharing important considerations for using each language in various circumstances. Lavanya starts by going over the background of both languages, as well as the strengths and disadvantages of each in different scenarios. She then walks through the process of working on a data science project and how you'd handle the data at various stages using Python and R. Lavanya then covers how to analyze data using both languages. She rounds out the course by discussing the use cases that play to each language's strengths. By the end of this training, youll have the essential information you need to determine whether Python or R is right for you.This course was created by Madecraft. We are pleased to host this training in our library.
216 988
🔅 Python vs. R for Data Science
🔊 Author: Lavanya Vijayan
🔸 Date: 2021-10-04
⏰ Duration: 39m
🌀
Learn about the pros and cons of using Python and R, two common programming languages, when working on data science projects.
📗 Topics: R, Python
🔷 Join @linkedin_learning for more courses216 988
🔸 Full description 🔸
Weve all been there: Were in an argument, and things just arent going well. Were not convincing, and maybe things even get personal and emotional. Even worse, maybe this happens at work. How do you get out of that reactive emotional space? Better yet, how do you avoid getting into that situation in the first place? In this course, law professor Kim Wehle shows you how to identify and create strong arguments backed with sound reasoning, so you can be more confident, more effective, and ultimately reach a place of common ground that everyone can feel good about. Kim starts with explaining how to identify and support your claims, then discusses how to use both deductive and inductive logic in the workplace. She also highlights several logical fallacies—like the straw man fallacy, the slippery slope, and begging the question—that can undermine your arguments.
216 988
🔅 Build Your Logical Thinking Skills
🔊 Author: Kim Wehle
🔸 Date: 2022-05-20
⏰ Duration: 40m
🌀
Learn how to identify and create strong arguments backed with sound reasoning.
📗 Topics: Logical Reasoning
🔷 Join @linkedin_learning for more courses216 988
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216 988
Your contribution in this survey is very much appreciated! It only takes 4 to 8 minutes! This is the link to the survey in Google Forms: https://docs.google.com/forms/d/e/1FAIpQLSeq7BjmicZ9sEQUk34P1nIqXURXbWoqicYo5_Krm8N8RTkKlA/viewform?usp=sf_link
216 988
🔸 Full description 🔸
Are you new to cloud computing? If so, this course can help you build your cloud computing skill set by familiarizing you with the business and tech-related basics of creating a cloud architecture. Join cloud-computing luminary David Linthicum as he discusses what cloud architecture is and why a strong architecture is crucial. After covering the fundamentals, he moves on to identifying the business and technical requirements of building a cloud architecture and goes over cloud parts and how to work from requirements to a solution. The course concludes by leading you through how to build your first architecture.
216 988
🔅 Cloud Architecture: Core Concepts
🔊 Author: David Linthicum
🔸 Date: 2022-03-18
⏰ Duration: 59m
🌀
Boost your cloud computing skill set. Learn about the business and technical requirements of building a strong architecture, how to build your first architecture, and more.
📗 Topics: Cloud-Native Architecture
🔷 Join @linkedin_learning for more courses216 988
🔸 Full description 🔸
If youre an IT professional, you already know that new architectural patterns and concepts are changing the way we design for the cloud. This is especially true in todays remote and hybrid work environment, where choosing the right type of cloud platform can determine the success and functionality of your entire IT enterprise.Join instructor Lee Atchison as he shows you the business and tech-related basics of orchestrating and managing an effective cloud architecture. Learn about the various types of cloud platforms and architecture types, as well as how to determine which option will work best for you. Explore service and microservice architectures, data management tools, serverless computing, and cloud security as you build out your infrastructure. Lee shows you how to successfully incorporate automation and management practices into your architecture strategy so you can create a more efficient environment for software development.
216 988
🔅 Cloud Architecture: Advanced Concepts
🔊 Author: Lee Atchison
🔸 Date: 2022-02-14
⏰ Duration: 1h 23m
🌀
Explore the business and tech-related basics of how to create, orchestrate, and manage an effective cloud architecture.
📗 Topics: Cloud-Native Architecture
🔷 Join @linkedin_learning for more courses216 988
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